Papers
172,654 papers found
An ideal observer model of infant object perception
Charles Kemp, Fei Xu
An improved estimator of Variance Explained in the presence of noise
Ralf M. Haefner, Bruce G. Cumming
An Information Criterion for Variable Selection in Support Vector Machines
Gerda Claeskens, Christophe Croux, Johan Van Kerckhoven
An interior-point stochastic approximation method and an L1-regularized delta rule
Peter Carbonetto, Mark Schmidt, Nando D. Freitas
An Online Algorithm for Maximizing Submodular Functions
Matthew Streeter, Daniel Golovin
A Numerically Robust LCP Solver for Simulating Articulated Rigid Bodies in Contact
Katsu Yamane, Yoshihiko Nakamura
Approximation Schemes for Two-Player Pursuit Evasion Games with Visibility Constraints
Sourabh Bhattacharya, Seth Hutchinson
Approximations for Binary Gaussian Process Classification
Hannes Nickisch, Carl Edward Rasmussen
A rational model of preference learning and choice prediction by children
Christopher G. Lucas, Thomas L. Griffiths, Fei Xu et al.
A Recursive Method for Structural Learning of Directed Acyclic Graphs
Xianchao Xie, Zhi Geng
Artificial Olfactory Brain for Mixture Identification
Mehmet K. Muezzinoglu, Alexander Vergara, Ramon Huerta et al.
A Scalable Hierarchical Distributed Language Model
Andriy Mnih, Geoffrey E. Hinton
A ``Shape Aware'' Model for semi-supervised Learning of Objects and its Context
Abhinav Gupta, Jianbo Shi, Larry S. Davis
A spatially varying two-sample recombinant coalescent, with applications to HIV escape response
Alexander Braunstein, Zhi Wei, Shane T. Jensen et al.
Asynchronous Distributed Learning of Topic Models
Padhraic Smyth, Max Welling, Arthur U. Asuncion
A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning
Massih R. Amini, Nicolas Usunier, François Laviolette
A Tutorial on Conformal Prediction
Glenn Shafer, Vladimir Vovk
Automatic online tuning for fast Gaussian summation
Vlad I. Morariu, Balaji V. Srinivasan, Vikas C. Raykar et al.
Bayesian Experimental Design of Magnetic Resonance Imaging Sequences
Hannes Nickisch, Rolf Pohmann, Bernhard Schölkopf et al.
Bayesian Exponential Family PCA
Shakir Mohamed, Zoubin Ghahramani, Katherine A. Heller
Bayesian Inference and Optimal Design for the Sparse Linear Model
Matthias W. Seeger
Bayesian Kernel Shaping for Learning Control
Jo-anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar et al.
Bayesian Model of Behaviour in Economic Games
Debajyoti Ray, Brooks King-casas, P. R. Montague et al.
Bayesian Network Score Approximation using a Metagraph Kernel
Benjamin Yackley, Eduardo Corona, Terran Lane