Papers
4,122 papers found
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
Dirk Gorissen, Ivo Couckuyt, Piet Demeester et al.
Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing
Ryo Yoshida, Mike West
Bundle Methods for Regularized Risk Minimization
Choon Hui Teo, S.V.N. Vishwanthan, Alex J. Smola et al.
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.
Collective Inference for Extraction MRFs Coupled with Symmetric Clique Potentials
Rahul Gupta, Sunita Sarawagi, Ajit A. Diwan
Composite Binary Losses
Mark D. Reid, Robert C. Williamson
Consensus-Based Distributed Support Vector Machines
Pedro A. Forero, Alfonso Cano, Georgios B. Giannakis
Consistent Nonparametric Tests of Independence
Arthur Gretton, László Györfi
Continuous Time Bayesian Network Reasoning and Learning Engine
Christian R. Shelton, Yu Fan, William Lam et al.
Covariance in Unsupervised Learning of Probabilistic Grammars
Shay B. Cohen, Noah A. Smith
Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting
Philippos Mordohai, Gérard Medioni
Efficient Algorithms for Conditional Independence Inference
Remco Bouckaert, Raymond Hemmecke, Silvia Lindner et al.
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers
Franz Pernkopf, Jeff A. Bilmes
Erratum: SGDQN is Less Careful than Expected
Antoine Bordes, Léon Bottou, Patrick Gallinari et al.
Error-Correcting Output Codes Library
Sergio Escalera, Oriol Pujol, Petia Radeva
Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity
Aapo Hyvärinen, Kun Zhang, Shohei Shimizu et al.
Evolving Static Representations for Task Transfer
Phillip Verbancsics, Kenneth O. Stanley
Expectation Truncation and the Benefits of Preselection In Training Generative Models
Jörg Lücke, Julian Eggert
Fast and Scalable Local Kernel Machines
Nicola Segata, Enrico Blanzieri