Papers
184,605 papers found
Accelerated Neural Evolution through Cooperatively Coevolved Synapses
Faustino Gomez, Jürgen Schmidhuber, Risto Miikkulainen
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
Ben Calderhead, Mark Girolami, Neil D. Lawrence
A computational model of hippocampal function in trace conditioning
Elliot A. Ludvig, Richard S. Sutton, Eric Verbeek et al.
A Convergent $O(n)$ Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation
Richard S. Sutton, Hamid R. Maei, Csaba Szepesvári
A Convex Upper Bound on the Log-Partition Function for Binary Distributions
Laurent E. Ghaoui, Assane Gueye
Active Learning by Spherical Subdivision
Falk-Florian Henrich, Klaus Obermayer
Active Learning of Causal Networks with Intervention Experiments and Optimal Designs
Yang-Bo He, Zhi Geng
Adapting to a Market Shock: Optimal Sequential Market-Making
Sanmay Das, Malik Magdon-Ismail
Adaptive Body Scheme Models for Robust Robotic Manipulation
Juergen Sturm, Christian Plagemann, Wolfram Burgard
Adaptive Martingale Boosting
Phil Long, Rocco Servedio
Adaptive Template Matching with Shift-Invariant Semi-NMF
Jonathan L. Roux, Alain D. Cheveigné, Lucas C. Parra
A general framework for investigating how far the decoding process in the brain can be simplified
Masafumi Oizumi, Toshiyuki Ishii, Kazuya Ishibashi et al.
Aggregation of SVM Classifiers Using Sobolev Spaces
Sébastien Loustau
Algorithms for Infinitely Many-Armed Bandits
Yizao Wang, Jean-yves Audibert, Rémi Munos
Algorithms for Sparse Linear Classifiers in the Massive Data Setting
Suhrid Balakrishnan, David Madigan
A Library for Locally Weighted Projection Regression
Stefan Klanke, Sethu Vijayakumar, Stefan Schaal
A Local Collision Avoidance Method for Non-strictly Convex Polyhedra
Fumio Kanehiro, Florent Lamiraux, Oussama Kanoun et al.
A Massively Parallel Digital Learning Processor
Hans P. Graf, Srihari Cadambi, Venkata Jakkula et al.
A mixture model for the evolution of gene expression in non-homogeneous datasets
Gerald Quon, Yee W. Teh, Esther Chan et al.
A Moment Bound for Multi-hinge Classifiers
Bernadetta Tarigan, Sara A. van de Geer
A Multiple Instance Learning Strategy for Combating Good Word Attacks on Spam Filters
Zach Jorgensen, Yan Zhou, Meador Inge
Analyzing human feature learning as nonparametric Bayesian inference
Thomas L. Griffiths, Joseph L. Austerweil
An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering
Dilan Gorur, Yee W. Teh
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis
Gabriele Schweikert, Gunnar Rätsch, Christian K. Widmer et al.