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Statistical Learning

4076 directly classified papers

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Papers

Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations NIPS 2007
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NIPS 2007
Stability Bounds for Non-i.i.d. Processes NIPS 2007
Modelling motion primitives and their timing in biologically executed movements NIPS 2007
Density Estimation under Independent Similarly Distributed Sampling Assumptions NIPS 2007
Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization NIPS 2007
A general agnostic active learning algorithm NIPS 2007
Consistency and Convergence Rates of One-Class SVMs and Related Algorithms JMLR 2006
Learning Minimum Volume Sets JMLR 2006
Learning Coordinate Covariances via Gradients JMLR 2006
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting JMLR 2006
Some Discriminant-Based PAC Algorithms JMLR 2006
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals JMLR 2006
Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds NIPS 2006
High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression NIPS 2006
Tighter PAC-Bayes Bounds NIPS 2006
An Information Theoretic Framework for Eukaryotic Gradient Sensing NIPS 2006
Active learning for misspecified generalized linear models NIPS 2006
Bounds for Linear Multi-Task Learning JMLR 2006
An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments NIPS 2006
A Kernel Method for the Two-Sample-Problem NIPS 2006
A PAC-Bayes Risk Bound for General Loss Functions NIPS 2006
A Linear Non-Gaussian Acyclic Model for Causal Discovery JMLR 2006
AdaBoost is Consistent NIPS 2006
Non-rigid point set registration: Coherent Point Drift NIPS 2006