NIPS 2014 5250 representation theory for ranking functions pdf | 96E2DAD913038AADAE4BE8023F0115DE30A5595F

NIPS
2014 5250 representation theory for ranking functions pdf

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Total Size	1.4 GB
Total Files	1237
Hash	96E2DAD913038AADAE4BE8023F0115DE30A5595F

/2014/5250-a-representation-theory-for-ranking-functions.pdf	249.7 KB
/2014/5366-learning-time-varying-coverage-functions.pdf	383.0 KB
/2013/4941-mixed-optimization-for-smooth-functions.pdf	112.8 KB
/2012/4735-random-utility-theory-for-social-choice.pdf	3.5 MB
/2013/5207-deep-neural-networks-for-object-detection.pdf	1.2 MB
/2014/5437-learning-mixtures-of-ranking-models.pdf	396.3 KB
/2014/5278-general-stochastic-networks-for-classification.pdf	699.0 KB
/2014/5579-recursive-inversion-models-for-permutations.pdf	596.9 KB
/2012/4791-projection-retrieval-for-classification.pdf	433.4 KB
/2014/5468-active-regression-by-stratification.pdf	343.3 KB
/2012/4684-generalization-bounds-for-domain-adaptation.pdf	292.9 KB
/2014/5465-estimation-with-norm-regularization.pdf	276.8 KB
/2012/4704-deep-representations-and-codes-for-image-auto-annotation.pdf	2.4 MB
/2011/4235-penalty-decomposition-methods-for-rank-minimization.pdf	775.3 KB
/2012/4508-supervised-learning-with-similarity-functions.pdf	711.0 KB
Showing first 15 files of 1237 total files