Papers
21,849 papers found
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods
Alessandro Lazaric, Marcello Restelli, Andrea Bonarini
Retrieved context and the discovery of semantic structure
Vinayak Rao, Marc Howard
Robust Regression with Twinned Gaussian Processes
Andrew Naish-guzman, Sean Holden
Scan Strategies for Meteorological Radars
Victoria Manfredi, Jim Kurose
Scene Segmentation with CRFs Learned from Partially Labeled Images
Bill Triggs, Jakob J. Verbeek
Second Order Bilinear Discriminant Analysis for single trial EEG analysis
Christoforos Christoforou, Paul Sajda, Lucas C. Parra
Selecting Observations against Adversarial Objectives
Andreas Krause, Brendan Mcmahan, Carlos Guestrin et al.
Semi-Supervised Multitask Learning
Qiuhua Liu, Xuejun Liao, Lawrence Carin
Sequential Hypothesis Testing under Stochastic Deadlines
Peter Frazier, Angela J. Yu
Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons
Lars Buesing, Wolfgang Maass
Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains
Andrea Lecchini-visintini, John Lygeros, Jan Maciejowski
SpAM: Sparse Additive Models
Han Liu, Larry Wasserman, John D. Lafferty et al.
Sparse deep belief net model for visual area V2
Honglak Lee, Chaitanya Ekanadham, Andrew Y. Ng
Sparse Feature Learning for Deep Belief Networks
Marc'aurelio Ranzato, Y-lan Boureau, Yann L. Cun
Sparse Overcomplete Latent Variable Decomposition of Counts Data
Madhusudana Shashanka, Bhiksha Raj, Paris Smaragdis
Spatial Latent Dirichlet Allocation
Xiaogang Wang, Eric Grimson
Stability Bounds for Non-i.i.d. Processes
Mehryar Mohri, Afshin Rostamizadeh
Stable Dual Dynamic Programming
Tao Wang, Michael Bowling, Dale Schuurmans et al.
Statistical Analysis of Semi-Supervised Regression
Larry Wasserman, John D. Lafferty
Structured Learning with Approximate Inference
Alex Kulesza, Fernando Pereira
Subspace-Based Face Recognition in Analog VLSI
Gonzalo Carvajal, Waldo Valenzuela, Miguel Figueroa
Supervised Topic Models
Jon D. Mcauliffe, David M. Blei
Support Vector Machine Classification with Indefinite Kernels
Ronny Luss, Alexandre D'aspremont
Temporal Difference Updating without a Learning Rate
Marcus Hutter, Shane Legg
Testing for Homogeneity with Kernel Fisher Discriminant Analysis
Moulines Eric, Francis R. Bach, Zaïd Harchaoui