Papers
23,522 papers found
Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory
Harold Pashler, Nicholas Cepeda, Robert Lindsey et al.
Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora
Shuang-hong Yang, Hongyuan Zha, Bao-gang Hu
Sparsistent Learning of Varying-coefficient Models with Structural Changes
Mladen Kolar, Le Song, Eric P. Xing
Nonlinear directed acyclic structure learning with weakly additive noise models
Arthur Gretton, Peter Spirtes, Robert E. Tillman
Exponential Family Graph Matching and Ranking
James Petterson, Jin Yu, Julian J. Mcauley et al.
Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording
Zhi Yang, Qi Zhao, Edward Keefer et al.
Posterior vs Parameter Sparsity in Latent Variable Models
Kuzman Ganchev, Ben Taskar, Fernando Pereira et al.
A Data-Driven Approach to Modeling Choice
Vivek Farias, Srikanth Jagabathula, Devavrat Shah
Bayesian Sparse Factor Models and DAGs Inference and Comparison
Ricardo Henao, Ole Winther
Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability
Keith Bush, Joelle Pineau
Region-based Segmentation and Object Detection
Stephen Gould, Tianshi Gao, Daphne Koller
Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing
Ruben Coen-cagli, Peter Dayan, Odelia Schwartz
A joint maximum-entropy model for binary neural population patterns and continuous signals
Sebastian Gerwinn, Philipp Berens, Matthias Bethge
A Biologically Plausible Model for Rapid Natural Scene Identification
Sennay Ghebreab, Steven Scholte, Victor Lamme et al.
Efficient and Accurate Lp-Norm Multiple Kernel Learning
Marius Kloft, Ulf Brefeld, Pavel Laskov et al.
Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models
Jing Gao, Feng Liang, Wei Fan et al.
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models
Ryan Mcdonald, Mehryar Mohri, Nathan Silberman et al.
Online Learning of Assignments
Matthew Streeter, Daniel Golovin, Andreas Krause
An Additive Latent Feature Model for Transparent Object Recognition
Mario Fritz, Gary Bradski, Sergey Karayev et al.
Measuring model complexity with the prior predictive
Wolf Vanpaemel
A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation
Lan Du, Lu Ren, Lawrence Carin et al.
Reading Tea Leaves: How Humans Interpret Topic Models
Jonathan Chang, Sean Gerrish, Chong Wang et al.
Segmenting Scenes by Matching Image Composites
Bryan Russell, Alyosha Efros, Josef Sivic et al.
Efficient Bregman Range Search
Lawrence Cayton