Works matching IS 15324435 AND DT 2012 AND VI 13 AND IP 10
Results: 10
Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training.
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- Journal of Machine Learning Research, 2012, v. 13, n. 10, p. 3103
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- Article
Discriminative Hierarchical Part-based Models for Human Parsing and Action Recognition.
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- Journal of Machine Learning Research, 2012, v. 13, n. 10, p. 3075
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- Article
Oger: Modular Learning Architectures For Large-Scale Sequential Processing.
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- Journal of Machine Learning Research, 2012, v. 13, n. 10, p. 2995
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- Article
Facilitating Score and Causal Inference Trees for Large Observational Studies.
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- Journal of Machine Learning Research, 2012, v. 13, n. 10, p. 2955
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- Article
Local and Global Scaling Reduce Hubs in Space.
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- Journal of Machine Learning Research, 2012, v. 13, n. 10, p. 2871
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Multi-Instance Learning with Any Hypothesis Class.
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- Journal of Machine Learning Research, 2012, v. 13, n. 10, p. 2999
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- Article
A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss.
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- Journal of Machine Learning Research, 2012, v. 13, n. 10, p. 2813
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- Article
Online Submodular Minimization.
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- Journal of Machine Learning Research, 2012, v. 13, n. 10, p. 2903
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- Article
Efficient Methods for Robust Classification Under Uncertainty in Kernel Matrices.
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- Journal of Machine Learning Research, 2012, v. 13, n. 10, p. 2923
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- Article
Finite-Sample Analysis of Least-Squares Policy Iteration.
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- Journal of Machine Learning Research, 2012, v. 13, n. 10, p. 3041
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- Article