Papers
176,624 papers found
A Novel Kernel for Learning a Neuron Model from Spike Train Data
Nicholas Fisher, Arunava Banerjee
A POMDP Extension with Belief-dependent Rewards
Mauricio Araya, Olivier Buffet, Vincent Thomas et al.
A Potential-based Framework for Online Multi-class Learning with Partial Feedback
Shijun Wang, Rong Jin, Hamed Valizadegan
Appropriately Handled Prosodic Breaks Help PCFG Parsing
Zhongqiang Huang, Mary Harper
Approximate Inference by Compilation to Arithmetic Circuits
Daniel Lowd, Pedro Domingos
Approximate inference in continuous time Gaussian-Jump processes
Manfred Opper, Andreas Ruttor, Guido Sanguinetti
Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation
Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov
Approximate parameter inference in a stochastic reaction-diffusion model
Andreas Ruttor, Manfred Opper
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
Antti Honkela, Tapani Raiko, Mikael Kuusela et al.
Approximate Tree Kernels
Konrad Rieck, Tammo Krueger, Ulf Brefeld et al.
Approximation of hidden Markov models by mixtures of experts with application to particle filtering
Jimmy Olsson, Jonas Ströjby
A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups
Sofia Mosci, Silvia Villa, Alessandro Verri et al.
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction
Tamir Hazan, Raquel Urtasun
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
Jin Yu, S.V.N. Vishwanathan, Simon Günter et al.
A rational decision making framework for inhibitory control
Pradeep Shenoy, Angela J. Yu, Rajesh P. Rao
A Reduction from Apprenticeship Learning to Classification
Umar Syed, Robert E. Schapire
A Regularization Approach to Nonlinear Variable Selection
Lorenzo Rosasco, Matteo Santoro, Sofia Mosci et al.
A Rotation Test to Verify Latent Structure
Patrick O. Perry, Art B. Owen
Assessing Optimal Assignment under Uncertainty: An Interval-based Algorithm
L. Liu and D. Shell
A Streaming Parallel Decision Tree Algorithm
Yael Ben-Haim, Elad Tom-Tov
A Study of Approximate Inference in Probabilistic Relational Models
Fabian Kaelin, Doina Precup
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
Dirk Gorissen, Ivo Couckuyt, Piet Demeester et al.
A Theory of Multiclass Boosting
Indraneel Mukherjee, Robert E. Schapire
Attractor Dynamics with Synaptic Depression
K. Wong, He Wang, Si Wu et al.