Papers
176,624 papers found
On Relevant Dimensions in Kernel Feature Spaces
Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert Müller
On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor
Christoph Kolodziejski, Bernd Porr, Minija Tamosiunaite et al.
On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization
Sham M. Kakade, Karthik Sridharan, Ambuj Tewari
On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost
Hamed Masnadi-shirazi, Nuno Vasconcelos
On the Efficient Minimization of Classification Calibrated Surrogates
Richard Nock, Frank Nielsen
On the Generalization Ability of Online Strongly Convex Programming Algorithms
Sham M. Kakade, Ambuj Tewari
On the Reliability of Clustering Stability in the Large Sample Regime
Ohad Shamir, Naftali Tishby
On the Size and Recovery of Submatrices of Ones in a Random Binary Matrix
Xing Sun, Andrew B. Nobel
On the Suitable Domain for SVM Training in Image Coding
Gustavo Camps-Valls, Juan Gutiérrez, Gabriel Gómez-Pérez et al.
Optimal Response Initiation: Why Recent Experience Matters
Matt Jones, Sachiko Kinoshita, Michael Mozer
Optimal Solutions for Sparse Principal Component Analysis
Alexandre d'Aspremont, Francis Bach, Laurent El Ghaoui
Optimization on a Budget: A Reinforcement Learning Approach
Paul L. Ruvolo, Ian Fasel, Javier R. Movellan
Optimization Techniques for Semi-Supervised Support Vector Machines
Olivier Chapelle, Vikas Sindhwani, Sathiya S. Keerthi
Overlaying classifiers: a practical approach for optimal ranking
Stéphan J. Clémençcon, Nicolas Vayatis
Partially Observed Maximum Entropy Discrimination Markov Networks
Jun Zhu, Eric P. Xing, Bo Zhang
Particle Filter-based Policy Gradient in POMDPs
Pierre-arnaud Coquelin, Romain Deguest, Rémi Munos
Performance analysis for L\_2 kernel classification
Jooseuk Kim, Clayton Scott
Phase transitions for high-dimensional joint support recovery
Sahand Negahban, Martin J. Wainwright
Planning Long Dynamically-Feasible Maneuvers For Autonomous Vehicles
Maxim Likhachev, Dave Ferguson
Playing Pinball with non-invasive BCI
Matthias Krauledat, Konrad Grzeska, Max Sagebaum et al.
Policy Search for Motor Primitives in Robotics
Jens Kober, Jan R. Peters
Posterior Consistency of the Silverman g-prior in Bayesian Model Choice
Zhihua Zhang, Michael I. Jordan, Dit-Yan Yeung
Predicting the Geometry of Metal Binding Sites from Protein Sequence
Paolo Frasconi, Andrea Passerini
Predictive Indexing for Fast Search
Sharad Goel, John Langford, Alexander L. Strehl