Papers
172,654 papers found
Penalized Model-Based Clustering with Application to Variable Selection
Wei Pan, Xiaotong Shen
People Tracking with the Laplacian Eigenmaps Latent Variable Model
Zhengdong Lu, Cristian Sminchisescu, Miguel Á. Carreira-Perpiñán
Planning and Control of Meso-scale Manipulation Tasks with Uncertainties
Peng Cheng, David Cappelleri, Bogdan Gavrea et al.
Polynomial Identification in the Limit of Substitutable Context-free Languages
Alexander Clark, Rémi Eyraud
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
Sennay Ghebreab, Arnold Smeulders, Pieter Adriaans
Predicting human gaze using low-level saliency combined with face detection
Moran Cerf, Jonathan Harel, Wolfgang Einhaeuser et al.
Predicting Partial Paths from Planning Problem Parameters
Sarah Finney, Leslie Kaelbling, and Tomas Lozano-Perez
Predictive Matrix-Variate t Models
Shenghuo Zhu, Kai Yu, Yihong Gong
Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters
Gavin C. Cawley, Nicola L. C. Talbot
Privacy-Preserving Belief Propagation and Sampling
Michael Kearns, Jinsong Tan, Jennifer Wortman
Probabilistic Matrix Factorization
Andriy Mnih, Ruslan Salakhutdinov
Progressive mixture rules are deviation suboptimal
Jean-yves Audibert
Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes
Sridhar Mahadevan, Mauro Maggioni
Random Features for Large-Scale Kernel Machines
Ali Rahimi, Benjamin Recht
Random Projections for Manifold Learning
Chinmay Hegde, Michael Wakin, Richard Baraniuk
Random Sampling of States in Dynamic Programming
Chris Atkeson, Benjamin Stephens
Ranking the Best Instances
Stéphan Clémençon, Nicolas Vayatis
Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing
Yuanhao Chen, Long Zhu, Chenxi Lin et al.
Receding Horizon Differential Dynamic Programming
Yuval Tassa, Tom Erez, William D. Smart
Receptive Fields without Spike-Triggering
Guenther Zeck, Matthias Bethge, Jakob H. Macke
Refinable Kernels
Yuesheng Xu, Haizhang Zhang
Regret Minimization in Games with Incomplete Information
Martin Zinkevich, Michael Johanson, Michael Bowling et al.
Regularized Boost for Semi-Supervised Learning
Ke Chen, Shihai Wang
Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach
José M. Hernández-lobato, Tjeerd Dijkstra, Tom Heskes
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods
Alessandro Lazaric, Marcello Restelli, Andrea Bonarini