Papers
Prior Data and Kernel Conditional Random Fields for Obstacle Detection
Carlos Vallespi-Gonzalez, Tony Stentz
Gas Distribution Modeling using Sparse Gaussian Process Mixture Models
Cyrill Stachniss, Christian Plagemann, Achim Lilienthal et al.
Using Recognition to Guide a Robot's Attention
Alexander Thomas, Vittorio Ferrari, Bastian Leibe et al.
A Numerically Robust LCP Solver for Simulating Articulated Rigid Bodies in Contact
Katsu Yamane, Yoshihiko Nakamura
Clustering Sensor Data for Terrain Identification using a Windowless Algorithm
Philippe Giguere, Gregory Dudek
Bridging the Gap of Abstraction for Probabilistic Decision Making on a Multi-Modal Service Robot
Sven Schmidt-Rohr, Steffen Knoop, Martin Lösch et al.
Structural Learning of Chain Graphs via Decomposition
Zongming Ma, Xianchao Xie, Zhi Geng
Magic Moments for Structured Output Prediction
Elisa Ricci, Tijl De Bie, Nello Cristianini
Robust Submodular Observation Selection
Andreas Krause, H. Brendan McMahan, Carlos Guestrin et al.
Learning Bounded Treewidth Bayesian Networks
Gal Elidan, Stephen Gould
JNCC2: The Java Implementation Of Naive Credal Classifier 2
Giorgio Corani, Marco Zaffalon
An Extension on “Statistical Comparisons of Classifiers over Multiple Data Sets” for all Pairwise Comparisons
Salvador García, Francisco Herrera
Multi-Agent Reinforcement Learning in Common Interest and Fixed Sum Stochastic Games: An Experimental Study
Avraham Bab, Ronen I. Brafman
Model Selection for Regression with Continuous Kernel Functions Using the Modulus of Continuity
Imhoi Koo, Rhee Man Kil
Visualizing Data using t-SNE
Laurens van der Maaten, Geoffrey Hinton
Stationary Features and Cat Detection
François Fleuret, Donald Geman
Active Learning of Causal Networks with Intervention Experiments and Optimal Designs
Yang-Bo He, Zhi Geng
SimpleMKL
Alain Rakotomamonjy, Francis R. Bach, Stéphane Canu et al.
Minimal Nonlinear Distortion Principle for Nonlinear Independent Component Analysis
Kun Zhang, Laiwan Chan
On the Size and Recovery of Submatrices of Ones in a Random Binary Matrix
Xing Sun, Andrew B. Nobel
Non-Parametric Modeling of Partially Ranked Data
Guy Lebanon, Yi Mao
Model Selection in Kernel Based Regression using the Influence Function
Michiel Debruyne, Mia Hubert, Johan A.K. Suykens