Papers
172,654 papers found
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
Matthias Bethge, Philipp Berens
Neural characterization in partially observed populations of spiking neurons
Jonathan W. Pillow, Peter E. Latham
New Outer Bounds on the Marginal Polytope
David Sontag, Tommi S. Jaakkola
Noise Tolerant Variants of the Perceptron Algorithm
Roni Khardon, Gabriel Wachman
Nonlinear Boosting Projections for Ensemble Construction
Nicolás García-Pedrajas, César García-Osorio, Colin Fyfe
Nonlinear Estimators and Tail Bounds for Dimension Reduction in l1 Using Cauchy Random Projections
Ping Li, Trevor J. Hastie, Kenneth W. Church
Non-parametric Modeling of Partially Ranked Data
Guy Lebanon, Yi Mao
Object Recognition by Scene Alignment
Bryan Russell, Antonio Torralba, Ce Liu et al.
One-Pass Boosting
Zafer Barutcuoglu, Phil Long, Rocco Servedio
On higher-order perceptron algorithms
Claudio Gentile, Fabio Vitale, Cristian Brotto
Online Learning for Offroad Robots: Spatial Label Propagation to Learn Long-Range Traversability
Raia Hadsell, Pierre Sermanet, Jan Ben et al.
Online Learning of Multiple Tasks with a Shared Loss
Ofer Dekel, Philip M. Long, Yoram Singer
Online Linear Regression and Its Application to Model-Based Reinforcement Learning
Alexander L. Strehl, Michael L. Littman
On Ranking in Survival Analysis: Bounds on the Concordance Index
Harald Steck, Balaji Krishnapuram, Cary Dehing-oberije et al.
On Sparsity and Overcompleteness in Image Models
Pietro Berkes, Richard Turner, Maneesh Sahani
On the Consistency of Multiclass Classification Methods
Ambuj Tewari, Peter L. Bartlett
On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning
Rie Johnson, Tong Zhang
On the Representer Theorem and Equivalent Degrees of Freedom of SVR
Francesco Dinuzzo, Marta Neve, Giuseppe De Nicolao et al.
Optimal Kinodynamic Motion Planning for 2D Reconfiguration of Self-Reconfigurable Robots
John Reif and Sam Slee
Optimal models of sound localization by barn owls
Brian J. Fischer
Optimal ROC Curve for a Combination of Classifiers
Marco Barreno, Alvaro Cardenas, J. D. Tygar
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs
Ambuj Tewari, Peter L. Bartlett
PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers
François Laviolette, Mario Marchand
Parallelizing Support Vector Machines on Distributed Computers
Kaihua Zhu, Hao Wang, Hongjie Bai et al.