Papers
184,605 papers found
Optimal Kinodynamic Motion Planning for 2D Reconfiguration of Self-Reconfigurable Robots
John Reif and Sam Slee
Optimal models of sound localization by barn owls
Brian J. Fischer
Optimal ROC Curve for a Combination of Classifiers
Marco Barreno, Alvaro Cardenas, J. D. Tygar
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs
Ambuj Tewari, Peter L. Bartlett
PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers
François Laviolette, Mario Marchand
Parallelizing Support Vector Machines on Distributed Computers
Kaihua Zhu, Hao Wang, Hongjie Bai et al.
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.