Papers
4,025 papers found
Active Sequential Learning with Tactile Feedback
Hannes Saal, Jo–Anne Ting, Sethu Vijayakumar
A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection
Silvia Pandolfi, Francesco Bartolucci, Nial Friel
A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra
Ji Won Yoon, Simon Wilson, K. Hun Mok
A Markov-Chain Monte Carlo Approach to Simultaneous Localization and Mapping
Peter Torma, András György, Csaba Szepesvári
An Alternative Prior Process for Nonparametric Bayesian Clustering
Hanna Wallach, Shane Jensen, Lee Dicker et al.
A Potential-based Framework for Online Multi-class Learning with Partial Feedback
Shijun Wang, Rong Jin, Hamed Valizadegan
Approximate parameter inference in a stochastic reaction-diffusion model
Andreas Ruttor, Manfred Opper
Approximation of hidden Markov models by mixtures of experts with application to particle filtering
Jimmy Olsson, Jonas Ströjby
A Regularization Approach to Nonlinear Variable Selection
Lorenzo Rosasco, Matteo Santoro, Sofia Mosci et al.
A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation
Florence Forbes, Senan Doyle, Daniel Garcia–Lorenzo et al.
Bayesian Gaussian Process Latent Variable Model
Michalis Titsias, Neil D. Lawrence
Bayesian Generalized Kernel Models
Zhihua Zhang, Guang Dai, Donghui Wang et al.
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
Boosted Optimization for Network Classification
Timothy Hancock, Hiroshi Mamitsuka
Coherent Inference on Optimal Play in Game Trees
Philipp Hennig, David Stern, Thore Graepel
Collaborative Filtering on a Budget
Alexandros Karatzoglou, Alex Smola, Markus Weimer
Collaborative Filtering via Rating Concentration
Bert Huang, Tony Jebara
Combining Experiments to Discover Linear Cyclic Models with Latent Variables
Frederick Eberhardt, Patrik Hoyer, Richard Scheines
Conditional Density Estimation via Least-Squares Density Ratio Estimation
Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki et al.
Contextual Multi-Armed Bandits
Tyler Lu, David Pal, Martin Pal
Convexity of Proper Composite Binary Losses
Mark Reid, Robert Williamson
Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials
Mark Schmidt, Kevin Murphy
Dense Message Passing for Sparse Principal Component Analysis
Kevin Sharp, Magnus Rattray