Ranking SVM

Results: 55



#Item
31Web query classification / Web search query / Lemur Project / Precision and recall / Search engine indexing / Discounted cumulative gain / Bing / Learning to rank / Ranking SVM / Information science / Information retrieval / Ranking function

Northeastern University in TREC 2009 Million Query Track Evangelos Kanoulas‡ , Keshi Dai∗ , Virgil Pavlu∗ , Stefan Savev∗ , Javed Aslam∗ ‡

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Source URL: trec.nist.gov

Language: English - Date: 2010-02-04 08:07:16
32Ranking SVM / Statistical classification / Stability / Learning / Learning to rank / Information retrieval / Statistics / Support vector machines / Artificial intelligence

Query-Level Stability and Generalization in Learning to Rank Yanyan Lan* [removed] Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, P. R. China. Tie-Yan Liu

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Source URL: www.machinelearning.org

Language: English - Date: 2008-05-21 03:01:10
33Learning to rank / Machine learning / Artificial intelligence / Combinatorics / Ranking SVM / Pairwise / Permutation / Support vector machine / Function / Statistics / Mathematics / Information retrieval

PDF Document

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Source URL: www.machinelearning.org

Language: English - Date: 2008-12-01 11:25:27
34Lexicography / Natural language processing / Ranking SVM / Support vector machine / Ranking function / Definition / Information retrieval / Subject / Level of measurement / Statistics / Linguistics / Science

Ranking Definitions with Supervised Learning Methods Jun Xu* Yunbo Cao Hang Li

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Source URL: www2005.org

Language: English - Date: 2005-04-04 12:15:59
35Relevance feedback / Learning to rank / Vector space model / Text Retrieval Conference / Tf*idf / Ranking SVM / Twitter / Relevance / Ranking function / Information science / Information retrieval / Science

PKUICST at TREC 2012 Microblog Track Feng Liang Runwei Qiang Yihong Hong Yue Fei Jianwu Yang {liangfeng,qiangrw,hongyihong,feiyue,yangjw}@pku.edu.cn ∗

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Source URL: trec.nist.gov

Language: English - Date: 2013-02-12 08:11:20
36Statistics / Information retrieval / Artificial intelligence applications / Natural language processing / Content-based image retrieval / Computer vision / Image retrieval / Ranking SVM / Document retrieval / Artificial intelligence / Information science / Image search

Minimizing the semantic gap in biomedical content-based image retrieval[removed]]

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Source URL: www.lhncbc.nlm.nih.gov

Language: English - Date: 2014-08-09 14:13:01
37Statistics / Information retrieval / Artificial intelligence applications / Natural language processing / Content-based image retrieval / Computer vision / Image retrieval / Ranking SVM / Document retrieval / Artificial intelligence / Information science / Image search

Minimizing the semantic gap in biomedical content-based image retrieval[removed]]

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Source URL: lhncbc.nlm.nih.gov

Language: English - Date: 2014-08-03 06:03:09
38Learning / Statistical classification / Support vector machines / Perceptron / Stability / Feature selection / Feedforward neural network / Least squares support vector machine / Ranking SVM / Machine learning / Statistics / Neural networks

IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 42, NO. 2, APRIL[removed]Extreme Learning Machine for Regression and Multiclass Classification

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Source URL: www3.ntu.edu.sg

Language: English - Date: 2012-03-15 21:51:12
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

A Discriminative Approach for the Retrieval of Images from Text Queries David Grangier1,2, Florent Monay1,2, and Samy Bengio1 1 2

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Source URL: david.grangier.info

Language: English - Date: 2010-12-15 14:10:39
40Vector 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 ·

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Source URL: david.grangier.info

Language: English - Date: 2010-12-15 14:12:01
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