Papers
Fishbone Model for Belt Object Deformation
Hidefumi Wakamatsu, Eiji Arai, and Shinichi Hirai
Fitted Q-iteration in continuous action-space MDPs
András Antos, Csaba Szepesvári, Rémi Munos
Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations
Amir Globerson, Tommi S. Jaakkola
From External to Internal Regret
Avrim Blum, Yishay Mansour
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders
Christian Plagemann, Kristian Kersting, Patrick Pfaff et al.
Gaussian Process Models for Link Analysis and Transfer Learning
Kai Yu, Wei Chu
General Polynomial Time Decomposition Algorithms
Nikolas List, Hans Ulrich Simon
Gini Support Vector Machine: Quadratic Entropy Based Robust Multi-Class Probability Regression
Shantanu Chakrabartty, Gert Cauwenberghs
Graph Laplacians and their Convergence on Random Neighborhood Graphs
Matthias Hein, Jean-Yves Audibert, Ulrike von Luxburg
GRIFT: A graphical model for inferring visual classification features from human data
Michael Ross, Andrew Cohen
Handling Missing Values when Applying Classification Models
Maytal Saar-Tsechansky, Foster Provost
Harnessing the Expertise of 70,000 Human Editors: Knowledge-Based Feature Generation for Text Categorization
Evgeniy Gabrilovich, Shaul Markovitch
Heterogeneous Component Analysis
Shigeyuki Oba, Motoaki Kawanabe, Klaus-Robert Müller et al.
Hidden Common Cause Relations in Relational Learning
Ricardo Silva, Wei Chu, Zoubin Ghahramani
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion
J. Z. Kolter, Pieter Abbeel, Andrew Y. Ng
Hierarchical Average Reward Reinforcement Learning
Mohammad Ghavamzadeh, Sridhar Mahadevan
Hierarchical Penalization
Marie Szafranski, Yves Grandvalet, Pierre Morizet-mahoudeaux
Hippocampal Contributions to Control: The Third Way
Máté Lengyel, Peter Dayan
HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation
Bing Zhao, Eric P. Xing
How SVMs can estimate quantiles and the median
Andreas Christmann, Ingo Steinwart
"Ideal Parent” Structure Learning for Continuous Variable Bayesian Networks
Gal Elidan, Iftach Nachman, Nir Friedman
Incremental Natural Actor-Critic Algorithms
Shalabh Bhatnagar, Mohammad Ghavamzadeh, Mark Lee et al.
Inferring Elapsed Time from Stochastic Neural Processes
Misha Ahrens, Maneesh Sahani
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes
John P. Cunningham, Byron M. Yu, Krishna V. Shenoy et al.