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Home; Installing Perl; First steps; Modules; Examples; Documentation; Books; FAQ / Help A good setup for Perl on Windows (32 and 64 bit): Window tools. Perl Tutorial (Komodo IDE only) Perl Tutorial Overview; Before You Start. Generate output by running the program. Debug the program using the Komodo debugger. Running external programs from Perl. This means that we run those other programs from our Perl program. This second way of running the program would work. Learn Perl - Getting Started. Hello Perl. The first step in learning to program is to teach the computer to say. If you are only running Perl on Windows machines, you can use the default location. To create a Perl program, simply create a new file, such as hello.pl. Fun Science Projects for Toddlers. Have some summer fun with science projects for toddlers. Your little one’s preschool year is coming to an end and the dog days of summer are almost here. How to Create Lesson Plans for Toddlers. A lesson plan for toddlers should separate indoor and outdoor experiences. Several years back, I was contracted with a local childcare program to write. A print rich environment where toddlers can explore these. Like our 75 TV Free Activities for Toddlers the majority of. Check out these 1. You will be doing everything from making a mini- terrarium to creating colorful eruptions. These science themed toddler activities will NOT disappoint! Activities for Toddlers. Materials: Clip art program or pictures of animals. Outdoor Bowling Toddlers follow directions. Toddlers; Parenting Teens; Childhood. These are the classic outdoor activities you. Check out outdoor retailer REI's Passport to Adventure program for suggested. What Toddler Crafts & Art Projects Can We Do? But toddlers do tend to not have full control of their. Don’t do an activity with an intentional plan. Experiential learning brings lessons to life in our indoor and outdoor classrooms. Our program is designed for toddlers who will be age 18. I took a lot of time to develop and write each of the lesson plan ideas. Not only will science projects keep your toddler entertained, they will learn a few things along the way as well. Roll up your sleeves and get ready to have fun! Science Projects for Toddlers. Looking for toddler activities to keep your busy this summer? With these fun science projects you'll be teaching them as well as keeping their little hands busy. I still remember making this at the Science Place in downtown Dallas when I was just a wee little one. Create your own tornado in a bottle, just in time for crazy weather season! Learn more at In Lieu of Preschool. Magic Ketchup. Flower Changing Colors. Mad Scientist Potion. Make mad scientist potion with Kool- aid and dry ice. Your little one will love to see the reaction dry ice has.? Create a shell- less egg with your toddler (I maybe more amazed than my little one will be!)Learn more at Carrots are Orange. Mini- Terrarium. Learning About Weight. Ivory Soap Fun. Teach your toddler about Charles' Law with ivory soap in the microwave! Charles' Law states that as the temperature of a gas increases, so does its volume. When the soap is heated, the molecules of air in the soap move quickly, causing them to move far away from each other. This causes the soap to puff up and expand to an enormous size. Other brands of soap without whipped air tend to heat up and melt in the microwave. Springfield appears only in Fallout Tactics if you have the 4th bonus CD or installed a patch designed for this purpose. This is a bonus mission from the Fallout Tactics Bonus CD. It'll install one mission, Springfield. To be able to play it you'll need to be in the first Fallout bunker. Get all the inside info, cheats, hacks, codes, walkthroughs for Fallout Tactics: Brotherhood of Steel on GameSpot. Carte de Fallout Tactics. Il existe 22 missions dans la campagne solo de Fallout Tactics, en incluant la mission bonus de Springfield apr Springfield is a bonus mission in Fallout Tactics. Stealth is made particularly difficult in this mission due to the large number of burning oil. For Fallout Tactics: Brotherhood of Steel on the PC, a GameFAQs message board topic titled 'Need help installing patch to activate Springfield mission'. Springfield - Fallout Wiki - Wikia. Springfield. Visible interiors. Springfield is a location in Fallout Tactics, which can be reached from Bunker Beta. Its population consists mostly of humans with some ghouls. Around 2. 19. 7, the mayor of Springfield was Chris Avellone. The other notable civilians were Carino the town guard, Joe the bartender, and Presnell the shopkeeper. But he took to his new power and started causing trouble. The mayor's political stance with the ghouls angered some of Springfield's far- right, human activists who refuse to acknowledge the . He told the Brotherhood interrogators that these resident troublemakers would be dressed as raiders, which was a clumsy attempt to frame the local bandits. The Warrior soon arrived and liberated the town from occupation. Even though they awaited the Brotherhood's arrival and had already build some barricades, they were all killed, including their leader - the head assassin. Under this bill, there would be no violence against a ghoul.. FALLOUT TACTICS version 1.27 +5 trainer coded by Groza Instructions ===== 1.) Run this trainer FOTv127Trn. And from now on, a ghoul was entitled to payment equal to, or greater than, half that of a pure bred human. And lastly, no more would . It also can be made available manually by using notepad to edit the . If you have an earlier save game you can change the value and replay from the end of Mardin. Such as the two large cooling towers for a nuclear power plant, the town's statue which looks a lot like the statue of Jebediah Springfield, as well as the large sign for . Another clear example is . In episode Lemon of Troy, the town of Shelbyville is depicted as a copy of Springfield, even having its own Moe's Tavern complete with Moe, only named Joe, owning Joe's Tavern. Fallout Tactics: Brotherhood of Steel - PCGaming. Wiki PCGW Only use if experiencing missing items in inventory. Download and apply Missing Inventory Patch. Chapter 10 Probabilistic Inductive Querying Using ProbLog Luc De Raedt, Angelika Kimmig, Bernd Gutmann, Kristian Kersting, V Compressing Probabilistic Prolog Programs 3 are presented in Section 7, and . 2 Example: ProbLog for. Decision Support For Fuzzy, Probabilistic And Control Processes: A. The implementation of these processes in Prolog is discussed. Mach Learn DOI 10.1007/s10994-007-5030-x Compressing probabilistic Prolog programs (2007). Probabilistic Inductive Logic Programming – Association for Logic Programming. By. Fabrizio Riguzzi. Dipartimento di Matematica e Informatica. Universit. Since the start, theproblem of learning probabilistic logic programs has been the focus ofmuch attention and a special issue of Theory and Practice of Logic. Programming on Probability, Logic, and Learning has just appearedonline. Learning PLP represents a whole subfield of Inductive Logic. Compressing probabilistic Prolog programs L. This paper introduces the theory compression task for ProbLog, which consists of select-. MachineLearning Journal manuscript editor)Compressing Probabilistic Prolog Programs DeRaedt urInformatik, Albert-Ludwigs-Universitat, Georges-Kohler-Allee, Gebaude. Prolog by adding fractional truth values. The very first one had me totally confused for a long time. ProbLog is a recent probabilistic extension of Prolog motivated by. Variable compression in. Programming (ILP). In Probabilistic ILP (PILP) two problems areconsidered: learning the parameters of a program given the structure (therules) and learning the structure and the parameters at the same time. Usually structure learning systems use parameter learning as a subroutine. In this article we present the field of PILP and discuss the main results. Introduction. Probabilistic Logic Programming (PLP) started in the early nineties with seminal works such as those of Dantsin . These proposals can be grouped in two classes: those that use a variant of the distribution semantics . The distribution semantics underlines many languages such as Probabilistic Logic Programs . While the number of languages is large, all these approaches share a common approach so that there are transformation with linear complexity that can translate one language in another. Under the distribution semantics, a probabilistic logic program defines a probability distribution over normal logic programs (termed worlds). The probability of a ground query Q is then obtained from the joint distribution of the query and the worlds: it is the sum of the probability of worlds where the query is true. The languages following a KBMC approach include CLP(BN) . In this languages, a program is a template for generating a ground graphical model, be it a Bayesian network or a Markov network. Learning probabilistic logic programs has been considered from the start: . This is the first problem that was considered in the domain of learning and was the only one until recently, when works regarding the induction of the structure (the rules) and the parameters at the same time started to appear. The whole field was called Probabilistic Inductive Logic Programming (PILP) in . A Prob. Log program consists of a set of rules (certain) and a set of probabilistic facts of the formpi: :Aiwhere pi. From a Prob. Log program we obtain normal programs called worlds by including the set C of rules and a subset L of the (ground) probabilistic facts. Each world is obtained by selecting or rejecting each grounding of each probabilistic fact. The probability of a world is given by the product of a factor pi for each grounding of a probabilistic fact pi : : Ai included in the world and of a factor 1 – pi for each grounding of a probabilistic fact not included in the world. The probability of a ground atom (query) is then the sum of the probabilities of the worlds where the query is true. Example. Solving it by computing all the worlds and then identifying those that entail the query is impractical as the number of possible worlds is exponential in the number of ground probabilistic facts. Usually inference is performed by resorting to knowledge compilation . The first approach for performing inference . An explanation is a minimal set of probabilistic facts that is sufficient for entailing the query and a covering set of explanations is a set that contains all possible explanations for the query. From the set of explanations, a Boolean formula in Disjunctive Normal Form (DNF) can be obtained, where each probabilistic fact is associated to a Boolean variable, an explanation is the conjunction of the facts it contains and the whole formula is the disjunction of the formulas for the different explanations. In Example 1, if we associated Boolean variable X1 to flu. Sneezing(bob) and X2 to hay. Fever. Sneezing(bob) the Boolean formula that encodes the set of explanations is X1. With knowledge compilation, we transform the formula so that the computation of the probability is polynomial in the size of the obtained representation. The hardness is transferred to the compilation phase but this approach works well in practice because considerable effort has been devoted to the development of efficient compilers. A target language for knowledge compilation is that of Binary Decision Diagrams (BDDs). They are rooted graphs with one level for each Boolean variable. A node n in a BDD has two children: one corresponding to the 1 value of the variable associated with the level of n and one corresponding the 0 value of the variable. The leaves store either 0 or 1. A BDD for the function X1. The graphs must moreover satisfy a number of restrictions. In the first, we are given the structure (the rules) of P and we just want to infer the parameters of P, while in the second we want to infer both the structure and the parameters of P. Parameter learning for languages following the distribution semantics has beenperformed by using the Expectation Maximization (EM) algorithm or by gradient descent. The EM algorithm is used to estimate the probability of models containing random variables that are not observed in the data. It consists of a cycle in which the steps of expectation and maximization are repeatedly performed. In the expectation step, the distribution of the hidden variables is computed according to the current values of the parameters, while in the maximization step the new values of the parameters are computed. Examples of EM algorithms are PRISM . The latter two use knowledge compilation for computing the distribution of the hidden variables. An example of these methods is Le. Prob. Log . One of the first works . Theory compression means removing as many clauses as possible from the theory in order to maximize the probability. No new clause can be added to the theory. SEM- CP- logic . This is possible as parameter learning is usually fast. Moreover, SLIPCOVER separates the search for promising clauses from that of the theory: the space of clauses is explored with beam search, while the space of theories is searched greedily. Prob. FOIL . Logical rules are learned from probabilistic data in the sense that both the examples themselves and their classifications can be probabilistic. In this setting the parameters (the probability values) are fixed and the structure (the rules) are to be learned. Conclusions. While this article does not aim at being a complete account of the activity in the field of PLP, we hope to have given an introduction that highlights the important results already achieved. There are many avenues for future research: improving the efficiency of inference, that is a basic component of learning systems, and developing faster and more accurate learning systems. These challenges must be taken up for PLP systems to increase their adoption. References. Using first- order probability logic for the constructionof bayesian networks. In UAI 1. 99. 3, pages 2. Morgan Kaufmann,1. Learning the structure ofprobabilistic logic programs. In ILP 2. 01. 1, volume 7. LNCS, pages. 61. Expectation Maximization overbinary decision diagrams for probabilistic logic programs. Intelligent Data. Analysis, 1. 7(2): 3. Structure learning of probabilisticlogic programs by searching the clause space. Theory and Practice of Logic. Programming, First. View Articles(Co. RR abs/1. 30. 9. 2. Probabilistic reasoning withanswer sets. Theory and Practice of Logic Programming, 9(1): 5. Probabilistic logic programs and their semantics. In. Russian Conference on Logic Programming, volume 5. LNCS, pages. 15. 2. A knowledge compilation map. Journal of Artificial Intellingence Research, 1. Prob. Log: A probabilistic. Prolog and its application in link discovery. In IJCAI 2. 00. 7, pages. Compressing probabilistic Prolog programs. Machine. Learning, 7. Probabilistic rule learning. In ILP 2. 01. 0,volume 6. LNCS, pages 4. 7. Inference and learning in probabilistic logic programs using weightedboolean formulas. Co. RR, abs/1. 30. Probabilistic datalog: Implementing logical informationretrieval for advanced applications. Journal of the American Society for. Information Science, 5. Evaluating inference algorithmsfor the prolog factor language. In ILP 2. 01. 2, volume 7. LNCS, pages. 74. Parameterlearning in probabilistic databases: A least squares approach. In. ECML/PKDD 2. 00. LNCS, pages 4. 73. Towards combining inductivelogic programming with bayesian networks. In ILP 2. 00. 1, volume 2. LNCS, pages 1. 18. Learning ground CP- Logictheories by leveraging Bayesian network learning techniques. Fundumanta. Informaticae, 8. Probabilistic logicprogramming. Information and computation, 1. The Independent Choice Logic for modelling multiple agentsunder uncertainty. Artificial Intelligence, 9. Logic programming, abduction and probability –a top- down anytime algorithm for estimating prior and posteriorprobabilities. New Generation Computing, 1. Probabilistic inductive logicprogramming. In ALT 2. 00. 4, volume 3. LNCS, pages 1. 9. Applying the informationbottleneck to statistical relational learning. Machine Learning,8. In UAI2. 00. 3, pages 5. Morgan Kaufmann, 2. A statistical learning method for logic programs withdistribution semantics. In ICLP 1. 99. 5, pages 7. Parameter learning oflogic programs for symbolic- statistical modeling. Journal of Artificial. Intelligence Research, 1. CP- logic: A language of causal probabilistic events and its relation to logicprogramming. Theory and Practice of Logic Programming, 9(3): 2. Logic programswith annotated disjunctions. In International Conference on Logic. Programming, volume 3. LNCS, pages 1. 95. Fromknowledge bases to decision models. The Knowledge Engineering Review,7(0. I had a PT111 G2 and loved it. 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Find the perfect graduate school with American studies today! Download a Project Management Template or Project Schedule Template for Excel. Simple project management templates for project planning. PMI’s Project Management Professional (PMP) Project Management Template for Excel - Free download and software reviews. Project Management Template for Excel's name says it all: It adds a basic but flexible project management tool to Microsoft Excel, which is exactly where you need it. This Excel template from Business Spreadsheets is free to try for 3. It runs in Windows NT to 8 (including Server) and requires Microsoft Excel 9. Installing Project Management Template is extremely easy: Extract the zipped download and click it to open it in Excel. The first sheet, Resources, displays four modules: Project Parameter, Project Resources, Human Resources, and Control Panel. We entered a name, date, and preliminary deadline for our yet- undefined project. You can add project participants or define a budget, if you have the data, but we clicked the Control Panel's Project Definition to sample the preconfigured definitions on the Pre- Defined sheet. Ii Table of Contents List of Tables iii List of Figures iv Abstract v 1. MS Project Differences 2 3. Tracking a schedule with MS Project. Free Project Management template for PowerPoint is a free project management slide design for your presentations with an abstract background and simple design. Project management is the discipline of planning, organizing, and managing resources to bring about the successful completion of specific project goals and objectives. Project Management Kit. This Project Management Template. More than 50 templates, plans and forms are. PM Tools & Templates. We have the following templates and resources available for self-help use to assist your Project Management efforts. Project templates by phase. Online project management software for professionals. ProjectManager.com gives you a project dashboard for planning, tracking and collaboration real-time. Task, Schedule, and Status sheets also offered preconfigured tables. It's particularly easy to export Schedule sheets, which helps keep team members up to date (and excuses at a minimum). The Status sheet's Earned Value Analysis tool also tracks Historical Project Performance by SPI and CPI. While Project Management Template for Excel can't match the capabilities of enterprise- class project management solutions, it also has a cheaper price tag. With Project Management Template, your project data starts where it ends up anyway, in Excel. Editors' note: This is a review of the trial version of Project Management Template for Excel 2. Parchem offers a range of construction equipment, including drive units, concrete grinders, concrete vibrators, generators and soil compaction.Concrete Colour Solutions - Concrete Tools and Equipment for Concreting. 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Computer engineering graduates typically have some of the. Best computer science engineering schools in America. Mike Nudelman/Business Insider. The best computer- science and engineering schools in the US are hotspots for elite companies like Google, Apple, Raytheon, Facebook, and Lockheed Martin to recruit new talent. We surveyed over 4. Business Insider readers to find out which engineering schools have the most valuable undergraduate programs. Survey participants rated the schools on a scale from 1 (not valuable) to 5 (extremely valuable). To rank the schools, we took the percentage of people who assessed each school at a 4 or 5 and averaged that with the average SAT scores (from college admissions website College. Board) for the students at each school. Once again, the Massachusetts Institute of Technology came in first as the best school for engineering and computer- science undergrads. Read on to see which schools made the list. Andy Kiersz contributed to this article. Colorado State University. Fort Collins, Colorado. Colorado State is a leader in the computer- and electrical- engineering spaces, and, by graduation, 7. Top employers of CSU school of engineering grads include Schlumberger, Lockheed Martin, and Wolf Robotics. University of Connecticut. Storrs, Connecticut. UConn offers 1. 2 bachelor's- degree programs in engineering — everything from biomedical engineering to computer science to engineering physics. Engineering students at UConn are highly sought- after upon graduation; top employers include Accenture, Google, IBM, Intel, and Procter & Gamble, and starting salaries range from $5. University of Florida. Gainesville, Florida. UF is a top 1. 0 school in total STEM degrees awarded, and the undergraduate program has been ranked No. US News & World Report. University of Colorado at Boulder. Boulder, Colorado. Internship and job opportunities at CU Boulder are plentiful; students are recruited by Fortune 5. Apple cofounder Steve Wozniak attended CU Boulder's College of Engineering and Applied Sciences for a time; he ended up transferring to the University of California at Berkeley and received an honorary doctoral degree from Boulder later. North Carolina State University. Raleigh, North Carolina. The Wall Street Journal named the engineering program at North Carolina State 1. The school is visited by a number of local and national employers eager to hire NCSU grads; this fall, the school will host companies like Amazon, Anheuser- Busch, Glaxo. Smith. Kline, and Merck, among others. Boston University. Boston, Massachusetts. BU engineering students have excellent career outlooks: From the class of 2. The average starting salary for BU grads is higher than the national average — $6. University of Minnesota at Twin Cities. Minneapolis, Minnesota. Average starting salaries for University of Minnesota at Twin Cities engineering graduates range from $5. These are students who are sought after by elite companies like Honeywell, General Electric, NASA, Apple, Google, and Microsoft, among others. University of California at Santa Barbara. Santa Barbara, California. Many UC Santa Barbara students join professional engineering organizations such as the American Institute of Chemical Engineers, the Institute of Electrical and Electronics Engineers, the Association of Computing Machinery, and the American Society of Mechanical Engineers. Students can graduate with a bachelor's in four years, or a dual bachelor's- master's in five. Ohio State University. Columbus, Ohio. OSU engineering students take advantage of a number of study- abroad programs in Europe, Asia, and Australia. Employment outcomes are very positive: 1.
Average starting salaries range from $5. University of Washington. Seattle, Washington. The University of Washington is committed to diversity, with nearly a quarter of its undergraduate engineering majors being women and another 4. Asian Americans, underrepresented minorities, and foreign nationals. Many students secure jobs before graduation, and many others create their own job opportunities — UW is ranked No. Rochester Institute of Technology. The 50 best computer science and engineering. To determine which schools offer the best undergraduate programs. Engineering Computer Science Best.Rochester, New York. Last year, RIT engineering students generated more than $3. During their degrees, students participate in at least one year of full- time, paid experiential cooperative education experience with more than 5. Apple, Boeing, Lockheed Martin, and Welch Allyn. Worcester Polytechnic Institute. Worcester, Massachusetts. Engineering is so steeped in WPI's campus culture that even the team name is the Engineers. WPI is one of the first engineering and technology universities in the country, where engineering — especially in the fields of mechanical engineering, biomedical engineering, electrical and electronics engineering, and chemical engineering — is the most popular major. Penn State. State College, Pennsylvania. Penn State is ranked seventh in the nation for industrial engineering, 1. US News. Every student completes at least one internship, and 4. University of Maryland at College Park. College Park, Maryland. Eighty- five percent of Maryland undergraduate engineering students were either employed full- time or about to attend graduate school full- time by the time they graduated. Another 8. 5% of undergraduate co- op and intern students who applied for full- time positions with their co- op or intern placements received offers. A bachelor's in engineering from Maryland pays off well, with the average starting salary falling around $6. New York University. Brooklyn, New York. Engineering students at NYU have big prospects in store: More than 8. NYU's Polytechnic School of Engineering was ranked No. Forbes' list of colleges that will make you rich; Forbes also ranked it No. STEM. 3. 1. California Polytechnic State University. San Luis Obispo, California. Cal Poly statistics from the class of 2. Top employers for Cal Poly grads include Abbott Laboratories, Covidien, Apple, Microsoft, and Space. X. 3. 0. Texas A& M University. College Station, Texas. The . The Dwight Look College of Engineering is ranked No. US News, and the college is ranked No. Northeastern University. Boston, Massachusetts. Twelve percent of graduates from the Northeastern class of 2. Students get a well- rounded, experiential education compiled of both classroom and hands- on learning that takes them out into the world to apply what they learn in class to real- life problems. University of Wisconsin at Madison. Madison, Wisconsin. About 8. 5% of engineering undergrads secure one or more opportunities to be a summer intern or co- op engineer prior to graduation. The average starting income of a UW engineer is $6. M, Ford Motors, Kimberly- Clark, and Schlumberger. University of California at San Diego. San Diego, California. The engineering school at UC San Diego ranks 1. US and 1. 8th in the world, according to the 2. Academic Rankings of World Universities. The school specializes in a number of interdisciplinary initiatives, including contextual robotics, makerspace and design, and global entrepreneurism. University of California at Los Angeles. Los Angeles, California. A starting point for over 3. UCLA's Henry Samueli School of Engineering and Applied Science is also considered the birthplace of the internet: The first transmission from what would become the web was sent from campus. Bioengineering and biomedical research are two popular fields of study here. Rice University. Houston, Texas. More than a third of Rice's undergraduate students are enrolled in the George R. Brown School of Engineering. The school takes advantage of Houston's prominence in the energy, medical, and space sectors through research partnerships and internship opportunities with local companies. Harvey Mudd College. Claremont, California. The core philosophy at Harvey Mudd is that professionalism is . University of Pennsylvania. Philadelphia, Pennsylvania. At U Penn, every student is encouraged to participate in faculty- led research. Students can search for mentors in the faculty expertise directory or apply for one of the school's numerous scholarship programs. Penn also has several longstanding partnerships with big- name companies — including Lockheed Martin and Honeywell International — that result in research, internship, and employment opportunities for students. Rensselaer Polytechnic Institute. Troy, New York. Not only are RPI graduates prepared to handle professional engineering positions, they're ready to prove it. Last year, 5. 8% of students graduated with a full- time job offer, and another 1. Top employers for the class of 2. Schlumberger, Deloitte, Boeing, and General Electric. University of Michigan at Ann Arbor. Ann Arbor, Michigan. University of Michigan's co- op program allows students to alternate between semesters of classes and time off to complete internships and gain work experience. For several students, these co- ops turn into a full- time job offer. Graduates from the class of 2. Facebook, Lockheed Martin, and Pfizer. Duke University. Durham, North Carolina. At Duke's Pratt School of Engineering, gaining hands- on experience is a top priority for students. More than 7. 5% of undergraduates complete an industry- related internship, and almost 6. Georgia Tech. Atlanta, Georgia. Georgia Tech's undergraduate engineering department is ranked No. US News. Its industrial engineering program earned US News' top ranking in its field, while Tech's civil and aerospace programs took No. Stanford University Stanford, California. Stanford students take can advantage of opportunities to study and work abroad through the school's Global Engineering Programs, which provides students with internships in China, Uganda, Japan, Brazil, and more. US News ranks Stanford as the No. No. 2 spots in their respective fields as well. Massachusetts Institute of Technology. Cambridge, Massachusetts. In addition to being the top engineering school overall, MIT boasts No. US News. Upon graduation, 3. Students are courted by nearly 2. MIT grads include Google, Amazon, Exxon. Mobil, and Goldman Sachs. |
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