'Binary classification problem' diaporamas de présentation

Multiple Kernel Learning

Multiple Kernel Learning. Manik Varma Microsoft Research India. A Quick Re view of SVMs. Margin = 2 / ? w t w. ? > 1. Misclassified point. ? < 1. b. Support Vector. ? = 0. Support Vector. w. w t x + b = -1. ? = 0. w t x + b = 0. w t x + b = +1.

1.49k views • 85 slides

Support Vector Machines

1.22k views • 83 slides

From Big Data to Little Knowledge

From Big Data to Little Knowledge. Vladimir Cherkassky University of Minnesota cherk001@umn.edu Presented at CodeFreeze , Jan 16, 2014. Electrical and Computer Engineering. 1. 1. Motivation : What is Big Data?. Traditional IT infrastructure Data storage, access, connectivity etc.

571 views • 50 slides

Support Vector Machines

Support Vector Machines. Lecturer : Yishay Mansour Itay Kirshenbaum. Lecture Overview. In this lecture we present in detail one of the most theoretically well motivated and practically most e?ective classi?cation algorithms in modern machine learning: Support Vector Machines (SVMs). .

647 views • 41 slides

The Intelligence in Wikipedia Project

The Intelligence in Wikipedia Project Daniel S. We ld Department of Computer Science & Engineering University of Washington Seattle, WA, USA Joint Work with Fei Wu, Eytan Adar, Saleema Amershi, Oren Etzioni, James Fogarty, Raphael Hoffmann, Kayur Patel,

801 views • 39 slides

Problem Statement

CS 277 DataMining Project Presentation Instructor : Prof. Dave Newman Team : Hitesh Sajnani, Vaibhav Saini, Kusum Kumar Donald Bren School of Information and Computer Science University of California, Irvine. Problem Statement.

366 views • 25 slides

EE513 Audio Signals and Systems

EE513 Audio Signals and Systems. Statistical Pattern Classification Kevin D. Donohue Electrical and Computer Engineering University of Kentucky. Interpretation of Auditory Scenes.

334 views • 25 slides

Separating Hyperplanes

875 views • 20 slides

Opinion Mining in GATE Horacio Saggion & Adam Funk

382 views • 18 slides

Sparsity Analysis of Term Weighting Schemes and Application to Text Classification

257 views • 14 slides