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NIPS
2001
15 years 8 months ago
Model-Free Least-Squares Policy Iteration
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Michail G. Lagoudakis, Ronald Parr
AVBPA
2003
Springer
121views Biometrics» more  AVBPA 2003»
15 years 12 months ago
Enhanced VQ-Based Algorithms for Speech Independent Speaker Identification
Abstract. Weighted distance measure and discriminative training are two different approaches to enhance VQ-based solutions for speaker identification. To account for varying import...
Ningping Fan, Justinian P. Rosca
ICCV
2007
IEEE
16 years 8 months ago
The Joint Manifold Model for Semi-supervised Multi-valued Regression
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...
Ramanan Navaratnam, Andrew W. Fitzgibbon, Roberto ...
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ISSTA
2004
ACM
16 years 2 days ago
Automating commutativity analysis at the design level
Two operations commute if executing them serially in either order results in the same change of state. In a system in which commands may be issued simultaneously by different use...
Greg Dennis, Robert Seater, Derek Rayside, Daniel ...
IPPS
2008
IEEE
16 years 1 months ago
Model-based fault localization in large-scale computing systems
We propose a new fault localization technique for software bugs in large-scale computing systems. Our technique always collects per-process function call traces of a target system...
Naoya Maruyama, Satoshi Matsuoka