Papers
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.
A unified model of short-range and long-range motion perception
Shuang Wu, Xuming He, Hongjing Lu et al.
Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting
Chris Barber, Joseph Bockhorst, Paul Roebber
A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model
Sebastian Millner, Andreas Grübl, Karlheinz Meier et al.
Avoiding False Positive in Multi-Instance Learning
Yanjun Han, Qing Tao, Jue Wang
A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation
Florence Forbes, Senan Doyle, Daniel Garcia–Lorenzo et al.
Basis Construction from Power Series Expansions of Value Functions
Sridhar Mahadevan, Bo Liu
Batch Bayesian Optimization via Simulation Matching
Javad Azimi, Alan Fern, Xiaoli Z. Fern
Bayesian Action-Graph Games
Albert X. Jiang, Kevin Leyton-brown