Papers
4,122 papers found
Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso
Rahul Mazumder, Trevor Hastie
Exploration in Relational Domains for Model-based Reinforcement Learning
Tobias Lang, Marc Toussaint, Kristian Kersting
Facilitating Score and Causal Inference Trees for Large Observational Studies
Xiaogang Su, Joseph Kang, Juanjuan Fan et al.
Fast Approximation of Matrix Coherence and Statistical Leverage
Petros Drineas, Malik Magdon-Ismail, Michael W. Mahoney et al.
Feature Selection via Dependence Maximization
Le Song, Alex Smola, Arthur Gretton et al.
Finding Recurrent Patterns from Continuous Sign Language Sentences for Automated Extraction of Signs
Sunita Nayak, Kester Duncan, Sudeep Sarkar et al.
Finite-Sample Analysis of Least-Squares Policy Iteration
Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos
glm-ie: Generalised Linear Models Inference & Estimation Toolbox
Hannes Nickisch
GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression
Chiwoo Park, Jianhua Z. Huang, Yu Ding
High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion
Animashree Anandkumar, Vincent Y.F. Tan, Furong Huang et al.
Human Gesture Recognition on Product Manifolds
Yui Man Lui
Integrating a Partial Model into Model Free Reinforcement Learning
Aviv Tamar, Dotan Di Castro, Ron Meir
Iterative Reweighted Algorithms for Matrix Rank Minimization
Karthik Mohan, Maryam Fazel
Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences
Jan Grau, Jens Keilwagen, André Gohr et al.
Large-scale Linear Support Vector Regression
Chia-Hua Ho, Chih-Jen Lin
Learning Algorithms for the Classification Restricted Boltzmann Machine
Hugo Larochelle, Michael Mandel, Razvan Pascanu et al.
Learning Linear Cyclic Causal Models with Latent Variables
Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer
Learning Symbolic Representations of Hybrid Dynamical Systems
Daniel L. Ly, Hod Lipson
Linear Fitted-Q Iteration with Multiple Reward Functions
Daniel J. Lizotte, Michael Bowling, Susan A. Murphy
Linear Regression With Random Projections
Odalric-Ambrym Maillard, Rémi Munos
Local and Global Scaling Reduce Hubs in Space
Dominik Schnitzer, Arthur Flexer, Markus Schedl et al.
Mal-ID: Automatic Malware Detection Using Common Segment Analysis and Meta-Features
Gil Tahan, Lior Rokach, Yuval Shahar
Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning
Sangkyun Lee, Stephen J. Wright