'Soft margin classification mathematically' presentation slideshows

Soft margin classification mathematically - PowerPoint PPT Presentation

Support Vector Machines

Support Vector Machines

Support Vector Machines. Adapted from Lectures by Raymond Mooney (UT Austin) and Andrew Moore (CMU). Text classification. Earlier: Algorithms for text classification K Nearest Neighbor classification Simple, expensive at test time, low bias, high variance, non-linear

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791 views • 64 slides
CS276 Information Retrieval and Web Search

CS276 Information Retrieval and Web Search

CS276 Information Retrieval and Web Search. Lecture 15: Support Vector Machines [Borrows some slides from Ray Mooney]. Text classification: Last time and today. Last time: 3 algorithms for text classification K Nearest Neighbor classification

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600 views • 52 slides
CS276: Information Retrieval and Web Search

CS276: Information Retrieval and Web Search

CS276: Information Retrieval and Web Search Christopher Manning, Pandu Nayak, and Prabhakar Raghavan Lecture 13: Support vector machines and machine learning on documents. [Borrows slides from Ray Mooney]. Text classification. Last week: 3 algorithms for text classification

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638 views • 50 slides
Introduction to Information Retrieval

Introduction to Information Retrieval

Introduction to Information Retrieval. Lecture 12: 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

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628 views • 48 slides
Text classification: Last time and today

Text classification: Last time and today

Introduction to Information Retrieval (Manning, Raghavan, Schutze) Chapter 15 Support vector machines and machine learning on documents. Text classification: Last time and today. Last time: 3 algorithms for text classification K Nearest Neighbor classification

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608 views • 48 slides
CS276: Information Retrieval and Web Search Christopher Manning and Prabhakar Raghavan

CS276: Information Retrieval and Web Search Christopher Manning and Prabhakar Raghavan

CS276: Information Retrieval and Web Search Christopher Manning and Prabhakar Raghavan Lecture 14: Support vector machines and machine learning on documents. [Borrows slides from Ray Mooney]. Text classification: Up until now and today. Previously: 3 algorithms for text classification

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621 views • 48 slides
CS276: Information Retrieval and Web Search Christopher Manning and Prabhakar Raghavan

CS276: Information Retrieval and Web Search Christopher Manning and Prabhakar Raghavan

CS276: Information Retrieval and Web Search Christopher Manning and Prabhakar Raghavan Lecture 14: Support vector machines and machine learning on documents. [Borrows slides from Ray Mooney]. Text classification: Up until now and today. Previously: 3 algorithms for text classification

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484 views • 48 slides
Support Vector Machines

Support Vector Machines

Support Vector Machines. Linear Separators. Binary classification can be viewed as the task of separating classes in feature space:. w T x + b = 0. w T x + b > 0. w T x + b < 0. f ( x ) = sign( w T x + b ). Linear Separators. Which of the linear separators is optimal?.

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286 views • 21 slides

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