Papers
Bayesian Gaussian Process Latent Variable Model
Michalis Titsias, Neil D. Lawrence
Bayesian Generalized Kernel Models
Zhihua Zhang, Guang Dai, Donghui Wang et al.
Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing
Ryo Yoshida, Mike West
Bayesian Online Learning for Multi-label and Multi-variate Performance Measures
Xinhua Zhang, Thore Graepel, Ralf Herbrich
Bayesian structure discovery in Bayesian networks with less space
Pekka Parviainen, Mikko Koivisto
Bayesian variable order Markov models
Christos Dimitrakakis
b-Bit Minwise Hashing for Estimating Three-Way Similarities
Ping Li, Arnd Konig, Wenhao Gui
Belief space planning assuming maximum likelihood observations
R. Platt, R. Tedrake, L. Kaelbling and T. Lozano-Perez
Beyond Actions: Discriminative Models for Contextual Group Activities
Tian Lan, Yang Wang, Weilong Yang et al.
Biophysically inspired development of a sand-swimming robot
R. Maladen, Y. Ding, P. Umbanhowar et al.
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference
Vikas Sindhwani, Aurelie C. Lozano
Boosted Optimization for Network Classification
Timothy Hancock, Hiroshi Mamitsuka
Boosting Classifier Cascades
Nuno Vasconcelos, Mohammad J. Saberian
Bootstrapping Apprenticeship Learning
Abdeslam Boularias, Brahim Chaib-draa
Brain covariance selection: better individual functional connectivity models using population prior
Gael Varoquaux, Alexandre Gramfort, Jean-baptiste Poline et al.
Bundle Methods for Regularized Risk Minimization
Choon Hui Teo, S.V.N. Vishwanthan, Alex J. Smola et al.
Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations
Danial Lashkari, Ramesh Sridharan, Polina Golland
Causal discovery in multiple models from different experiments
Tom Claassen, Tom Heskes
Characterization, Stability and Convergence of Hierarchical Clustering Methods
Gunnar Carlsson, Facundo Mémoli
Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary β-Mixing Processes
Liva Ralaivola, Marie Szafranski, Guillaume Stempfel
Classification Methods with Reject Option Based on Convex Risk Minimization
Ming Yuan, Marten Wegkamp
Classification Using Geometric Level Sets
Kush R. Varshney, Alan S. Willsky
Classification with Incomplete Data Using Dirichlet Process Priors
Chunping Wang, Xuejun Liao, Lawrence Carin et al.
Closing the Learning-Planning Loop with Predictive State Representations
B. Boots, S. Siddiqi and G. Gordon
Coherent Inference on Optimal Play in Game Trees
Philipp Hennig, David Stern, Thore Graepel