'Large margin' presentation slideshows

Classification

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ITCS 6265 Information Retrieval & Web Mining

ITCS 6265 Information Retrieval & Web Mining. Lecture 14: Support vector machines and machine learning on documents [Borrows slides from Ray Mooney]. Text classification: Last time and today. Last time: 3 algorithms for text classification K Nearest Neighbor classification

624 views • 52 slides

Semi-Supervised Learning

Semi-Supervised Learning. Avrim Blum Carnegie Mellon University. [USC CS Distinguished Lecture Series, 2008]. Semi-Supervised Learning. Supervised Learning = learning from labeled data. Dominant paradigm in Machine Learning.

514 views • 46 slides

On a Theory of Similarity functions for Learning and Clustering

On a Theory of Similarity functions for Learning and Clustering. Avrim Blum Carnegie Mellon University This talk is based on work joint with Nina Balcan, Nati Srebro and Santosh Vempala. Theory and Practice of Computational Learning, 2009. 2-minute version.

548 views • 44 slides

Inspecting Solar Systems: A Seminar for Code Officials, Electric Utilities and Contractors

Inspecting Solar Systems: A Seminar for Code Officials, Electric Utilities and Contractors. Dave Click, Florida Solar Energy Center (Cocoa, FL) January 26, 2009. Acknowledgments, Contact Information. GRU Jerry Ventre & Jim Dunlop, NJATC John Wiles, NMSU

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Kernels and Margins

Kernels and Margins. Maria Florina Balcan 10/25/2011. O. X. O. X. X. O. X. X. O. O. X. X. X. O. O. X. X. O. Linear Separators. Hypothesis class of linear decision surfaces in R n. Instance space: X=R n. w.

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NYSSA Investment Research Challenge

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A Theory of Learning and Clustering via Similarity Functions

A Theory of Learning and Clustering via Similarity Functions. Maria-Florina Balcan. Carnegie Mellon University. Joint work with Avrim Blum and Santosh Vempala. 09/17/2007. K( , ). 2-Minute Version. Generic classification problem:. learn to distinguish men from women.

347 views • 34 slides

Kernels and Margins

Kernels and Margins. Maria Florina Balcan 10/13/2011. Kernel Methods. Amazingly popular method in ML in recent years. Lots of Books, Workshops. Significant percentage of ICML, NIPS, COLT. ICML 2007, Business meeting. O. X. O. X. X. O. X. X. O. O. X. X. X. O. O. X. X. O.

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Unit 3 useful expressions

Unit 3 useful expressions. Sentence Analysis.

442 views • 22 slides

Fringe Benefits of the H.264/AVC

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Chemical Engineering 475 Unit Operations Laboratory

244 views • 7 slides

Outlander Spices

Outlander Spices. Project justification. Control inventory costs and levels Provide quality products Price products competitively Control cash flow. Performance. Pricing Lower than competition Provides large margin of profit for distributors Products Quality Brand loyalty Competition

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Requested modifications to the 13 kA Energy Extraction Facilities and their Implementation

Requested modifications to the 13 kA Energy Extraction Facilities and their Implementation. Request for a faster current decay in the Main Dipole and Main Quadrupole Circuits The request is considered for operation at beam energies up to 4 TeV ( ~ 6850 A), at least for the moment

128 views • 6 slides