<--- Back to Details
First PageDocument Content
Machine learning / Learning / Learning to rank / Ranking SVM / Support vector machine / PageRank / Ranking / Stability / Document retrieval / Information retrieval / Feature selection / Supervised learning
Date: 2016-06-28 04:30:57
Machine learning
Learning
Learning to rank
Ranking SVM
Support vector machine
PageRank
Ranking
Stability
Document retrieval
Information retrieval
Feature selection
Supervised learning

Microsoft Word - LR4IR2009.v4-camera-nomark.doc

Add to Reading List

Source URL: www.sogou.com

Download Document from Source Website

File Size: 349,60 KB

Share Document on Facebook

Similar Documents

Machine learning / Learning / Learning to rank / Ranking SVM / Support vector machine / PageRank / Ranking / Stability / Document retrieval / Information retrieval / Feature selection / Supervised learning

Microsoft Word - LR4IR2009.v4-camera-nomark.doc

DocID: 1pnMD - View Document

Support vector machines / Statistical classification / Feature selection / Sequential minimal optimization / Sepp Hochreiter / Vector space / Duality / Least squares support vector machine / Ranking SVM

Nonlinear Feature Selection with the Potential Support Vector Machine Sepp Hochreiter and Klaus Obermayer Technische Universit¨ at Berlin Fakult¨

DocID: 1p8pc - View Document

Machine learning / Search algorithms / Structured prediction / Learning / Learning to rank / Support vector machine / K-nearest neighbors algorithm / Ranking SVM

Metric Learning to Rank Brian McFee Department of Computer Science and Engineering, University of California, San Diego, CAUSA Gert Lanckriet

DocID: 1oZVx - View Document

Machine learning / Learning / Artificial intelligence / Support vector machines / Learning to rank / Hinge loss / Ranking SVM / Structured support vector machine / Empirical risk minimization / Mathematical optimization / Supervised learning / Distribution

Perturbation based Large Margin Approach for Ranking Eunho Yang University of Texas at Austin Ambuj Tewari

DocID: 1m9Nw - View Document

Vector space model / Learning to rank / Ranking SVM / Tf*idf / Hash function / Search engine indexing / N-gram / Supervised learning / Latent semantic indexing / Information science / Information retrieval / Science

Noname manuscript No. (will be inserted by the editor) Learning to Rank with (a Lot of ) Word Features Bing Bai · Jason Weston · David Grangier · Ronan Collobert · Kunihiko Sadamasa ·

DocID: 19Cff - View Document