PPT-Vector Examples

Author : debby-jeon | Published Date : 2015-10-28

Physics 6A Prepared by Vince Zaccone For Campus Learning Assistance Services at UCSB A VECTOR describes anything that has both a MAGNITUDE and a DIRECTION The

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Vector Examples: Transcript

Physics 6A Prepared by Vince Zaccone For Campus Learning Assistance Services at UCSB A VECTOR describes anything that has both a MAGNITUDE and a DIRECTION The MAGNITUDE describes the size of the vector. Registration. Hw2. is out . Please start working on it as soon as possible. Come to sections with questions. On Thursday (TODAY) we will have two lectures:. Usual one, 12:30-11:45. An additional one, . Machines. Reading: . Ben-. Hur. and Weston, “A User’s Guide to Support Vector Machines”. . (linked from class web page). Notation. Assume a binary classification problem.. Instances are represented by vector . as Classifiers. Rahul Sharma. Joint work with . Aditya. . Nori. (MSR India) and Alex Aiken (Stanford). Interpolants. If . then an . interpolant. . satisfies:. . contains only the variables common to . conjunctions . the learner is to learn. The number of . conjunctions. : . . log(|C. |) = . n. The elimination algorithm makes . n. . mistakes. Learn from . positive . examples; eliminate active literals. conjunctions . the learner is to learn. The number of . conjunctions. : . . log(|C. |) = . n. The elimination algorithm makes . n. . mistakes. Learn from . positive . examples; eliminate active literals. Rahul Sharma. Joint work with . Aditya. . Nori. (MSR India) and Alex Aiken (Stanford). Interpolants. If . then an . interpolant. . satisfies:. . contains only the variables common to . and . An . Machine learning:. Learn a Function from Examples. Function:. . Examples:. Supervised: . . Unsupervised: . . Semisuprvised. : . Machine learning:. Learn a Function from Examples. Function:. . computing the similarity between words. “. fast. ” is similar to “. rapid. ”. “. tall. ” is similar to “. height. ”. Question answering:. Q. : “. How . tall. . is Mt. Everest?”. Candidate A: “The . Applications:. Web pages . Recommending pages. Yahoo-like classification hierarchies. Categorizing bookmarks. Newsgroup Messages /News Feeds / Micro-blog Posts. Recommending messages, posts, tweets, etc.. .. 1.01 Investigate graphic types and file formats.. . Node. Handle. Vector graphics are created from mathematical formulas used to define lines, shapes and curves. . Edited in draw programs . Shapes can be edited by moving points called nodes (drawing points). k!1) /19Proof of convergence10k!!|| k!1) k!1)+yixi"= Control. . . Vectors. Vectors are invertebrates or . arthropods . or animals . which transmit disease either through ingestion, . injection or . contact. . Nuisance Pests: Cockroach. A female German cockroach only needs to mate once. She can fertilize all the eggs she will produce in her 9 month lifespan and produce about 200 offspring. Jitendra. Malik. Handwritten digit recognition (MNIST,USPS). . LeCun’s. Convolutional Neural Networks variations (0.8%, 0.6% and 0.4% on MNIST). Tangent Distance(. Simard. , . LeCun. & . Denker. 1. Prepared by Vince Zaccone. For Campus Learning Assistance Services at UCSB. A . VECTOR. . can describe . anything that has both . MAGNITUDE. and . DIRECTION. The MAGNITUDE describes the size of the vector..

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