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- Update:
- 2012-11-26
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Description: Written using MATLAB on a lot of data mining algorithms, such as PCA, K-MEANS, etc., the most important he is a graphical interface
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Important\A decision-theoretic generalization of on-line learning and an application to boosting(AdaBoost).pdf
.........\Adapting Ranking SVM to Document Retrieval(RankSVM).pdf
.........\AdaRank-A Boosting Algorithm for Information Retrieval(AdaRank).pdf
.........\Advances in Large Margin Classifiers.pdf
.........\An Efficient Boosting Algorithm for Combining Preferences(RankBoost).pdf
.........\FRank-A Ranking Method with Fidelity Loss(FRank).pdf
.........\Learning to Rank From Pairwise Approach to Listwise Approach(ListNet).pdf
.........\Learning to Rank using Gradient Descent(RankNet).pdf
.........\Pranking with Ranking(PRank).pdf
Important
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