<--- Back to Details
| First Page | Document Content | |
|---|---|---|
 Date: 2010-12-15 14:10:39Information retrieval Natural language processing Categorical data Probabilistic latent semantic analysis Latent Dirichlet allocation Latent semantic analysis Ranking SVM Autoregressive conditional heteroskedasticity FO Statistics Machine learning Statistical natural language processing |
Add to Reading List |
A Discriminative Approach for the Retrieval of Images from Text Queries David Grangier1,2, Florent Monay1,2, and Samy Bengio1 1 2 | Microsoft Word - LR4IR2009.v4-camera-nomark.docDocID: 1pnMD - View Document |
| Nonlinear Feature Selection with the Potential Support Vector Machine Sepp Hochreiter and Klaus Obermayer Technische Universit¨ at Berlin Fakult¨DocID: 1p8pc - View Document |
| Metric Learning to Rank Brian McFee Department of Computer Science and Engineering, University of California, San Diego, CAUSA Gert LanckrietDocID: 1oZVx - View Document |
| Perturbation based Large Margin Approach for Ranking Eunho Yang University of Texas at Austin Ambuj TewariDocID: 1m9Nw - View Document |
| 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 |