Papers
173,579 papers found
Attribute-Efficient Learning andWeight-Degree Tradeoffs for Polynomial Threshold Functions
Rocco Servedio, Li-Yang Tan, Justin Thaler
A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping
Xiaohui Chen, Xinghua Shi, Xing Xu et al.
Augment-and-Conquer Negative Binomial Processes
Mingyuan Zhou, Lawrence Carin
Augmented-SVM: Automatic space partitioning for combining multiple non-linear dynamics
Ashwini Shukla, Aude Billard
A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss
José Hernández-Orallo, Peter Flach, Cèsar Ferri
A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes
Thomas Furmston, David Barber
Automatic Feature Induction for Stagewise Collaborative Filtering
Joonseok Lee, Mingxuan Sun, Seungyeon Kim et al.
Autonomous Exploration For Navigating In MDPs
Shiau Hong Lim, Peter Auer
A Variance Minimization Criterion to Active Learning on Graphs
Ming Ji, Jiawei Han
Bandit Algorithms boost Brain Computer Interfaces for motor-task selection of a brain-controlled button
Joan Fruitet, Alexandra Carpentier, Maureen Clerc et al.
Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit
Alexandra Carpentier, Remi Munos
Bayesian active learning with localized priors for fast receptive field characterization
Mijung Park, Jonathan W. Pillow
Bayesian Classifier Combination
Hyun-Chul Kim, Zoubin Ghahramani
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
Alexandre Lacoste, Francois Laviolette, Mario Marchand
Bayesian estimation of discrete entropy with mixtures of stick-breaking priors
Evan Archer, ll Memming Park, Jonathan W. Pillow
Bayesian Group Factor Analysis
Seppo Virtanen, Arto Klami, Suleiman Khan et al.
Bayesian Hierarchical Reinforcement Learning
Feng Cao, Soumya Ray
Bayesian Inference for Change Points in Dynamical Systems with Reusable States - a Chinese Restaurant Process Approach
Florian Stimberg, Andreas Ruttor, Manfred Opper
Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets
Kay H. Brodersen, Christoph Mathys, Justin R. Chumbley et al.
Bayesian models for Large-scale Hierarchical Classification
Siddharth Gopal, Yiming Yang, Bing Bai et al.
Bayesian Nonparametric Modeling of Suicide Attempts
Francisco Ruiz, Isabel Valera, Carlos Blanco et al.
Bayesian nonparametric models for bipartite graphs
Francois Caron
Bayesian nonparametric models for ranked data
Francois Caron, Yee W. Teh