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P != NP Proof. (arXiv:0907.3965v36 [cs.CC] UPDATED)
By André Luiz Barbosa 1 
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from
ArXiv:cs.FL
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published 04/2011
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A Generalized Path Integral Control Approach to Reinforcement Learning
By Evangelos Theodorou, Jonas Buchli, Stefan Schaal 1
· 0
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from
JMLR
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published 11/2010
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Linear Algorithms for Online Multitask Classification
By Giovanni Cavallanti, Nicolò Cesa-Bianchi, Claudio Gentile 2
· 0
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from
JMLR
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published 10/2010
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Regret Bounds and Minimax Policies under Partial Monitoring
By Jean-Yves Audibert, Sébastien Bubeck 1
· 0
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from
JMLR
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published 10/2010
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Mean Field Variational Approximation for Continuous-Time Bayesian Networks
By Ido Cohn, Tal El-Hay, Nir Friedman, Raz Kupferman 1
· 0
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from
JMLR
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published 10/2010
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Using Contextual Representations to Efficiently Learn Context-Free Languages
By Alexander Clark, Rémi Eyraud, Amaury Habrard 1
· 0
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from
JMLR
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published 10/2010
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Topology Selection in Graphical Models of Autoregressive Processes
By Jitkomut Songsiri, Lieven Vandenberghe 1
· 0
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from
JMLR
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published 10/2010
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Learnability, Stability and Uniform Convergence
By Shai Shalev-Shwartz, Ohad Shamir, Nathan Srebro, Karthik Sridharan 1
· 0
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from
JMLR
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published 10/2010
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High-dimensional Variable Selection with Sparse Random Projections: Measurement Sparsity and Statistical Efficiency
By Dapo Omidiran, Martin J. Wainwright 1
· 0
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from
JMLR
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published 08/2010
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Spectral Regularization Algorithms for Learning Large Incomplete Matrices
By Rahul Mazumder, Trevor Hastie, Robert Tibshirani 2
· 0
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from
JMLR
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published 08/2010
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High Dimensional Inverse Covariance Matrix Estimation via Linear Programming
By Ming Yuan 1
· 0
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from
JMLR
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published 08/2010
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Restricted Eigenvalue Properties for Correlated Gaussian Designs
By Garvesh Raskutti, Martin J. Wainwright, Bin Yu 1
· 0
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from
JMLR
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published 08/2010
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Regularized Discriminant Analysis, Ridge Regression and Beyond
By Zhihua Zhang, Guang Dai, Congfu Xu, Michael I. Jordan 1
· 0
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from
JMLR
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published 08/2010
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Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence
By Qiang Wu, Justin Guinney, Mauro Maggioni, Sayan Mukherjee 1
· 0
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from
JMLR
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published 08/2010
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libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models
By Joris M. Mooij 1
· 0
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from
JMLR
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published 08/2010
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Importance Sampling for Continuous Time Bayesian Networks
By Yu Fan, Jing Xu, Christian R. Shelton 1
· 0
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from
JMLR
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published 08/2010
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A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
By Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom Dhaene, Karel Crombecq 1
· 0
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from
JMLR
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published 07/2010
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Posterior Regularization for Structured Latent Variable Models
By Kuzman Ganchev, João Graça, Jennifer Gillenwater, Ben Taskar 1
· 0
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from
JMLR
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published 07/2010
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Practical Approaches to Principal Component Analysis in the Presence of Missing Values
By Alexander Ilin, Tapani Raiko 1
· 0
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from
JMLR
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published 07/2010
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Sparse Spectrum Gaussian Process Regression
By Miguel Lázaro-Gredilla, Joaquin Quiñonero-Candela, Carl Edward Rasmussen, Aníbal R. Figueiras-Vidal 1
· 0
·
from
JMLR
·
published 06/2010
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On the Foundations of Noise-free Selective Classification
By Ran El-Yaniv, Yair Wiener 1
· 0
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from
JMLR
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published 05/2010
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Near-optimal Regret Bounds for Reinforcement Learning
By Thomas Jaksch, Ronald Ortner, Peter Auer 1
· 0
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from
JMLR
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published 04/2010
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Hilbert Space Embeddings and Metrics on Probability Measures
By Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Bernhard Schölkopf, Gert R. G. Lanckriet 1
· 0
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from
JMLR
·
published 04/2010
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Quadratic Programming Feature Selection
By Irene Rodriguez-Lujan, Ramon Huerta, Charles Elkan, Carlos Santa Cruz 1
· 0
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from
JMLR
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published 04/2010
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Characterization, Stability and Convergence of Hierarchical Clustering Methods
By Gunnar Carlsson, Facundo Mémoli 1
· 0
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from
JMLR
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published 04/2010
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Learning Translation Invariant Kernels for Classification
By Kamaledin Ghiasi-Shirazi, Reza Safabakhsh, Mostafa Shamsi 1
· 0
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from
JMLR
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published 04/2010
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Learning From Crowds
By Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Gerardo Hermosillo Valadez, Charles Florin, Luca Bogoni, Linda Moy 1
· 0
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from
JMLR
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published 04/2010
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Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation
By Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov 1
· 0
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from
JMLR
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published 04/2010
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Graph Kernels
By S.V.N. Vishwanathan, Nicol N. Schraudolph, Risi Kondor, Karsten M. Borgwardt 1
· 0
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from
JMLR
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published 04/2010
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A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
By Jin Yu, S.V.N. Vishwanathan, Simon Günter, Nicol N. Schraudolph 1
· 0
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from
JMLR
·
published 03/2010
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