908 search results - page 74 / 182 » Stochastic Finite Learning |
FOCS
2010
IEEE
13 years 6 months ago
2010
IEEE
Abstract. We present a Fourier-analytic approach to list-decoding Reed-Muller codes over arbitrary finite fields. We use this to show that quadratic forms over any field are locall...
CVPR
2005
IEEE
14 years 11 months ago
2005
IEEE
In this work we propose a model for video scenes that contain temporal variability in shape and appearance. We propose a conditionally linear model akin to a dynamic extension of ...
IJCAI
2001
13 years 10 months ago
2001
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
SAB
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. In this paper we study distributed online learning of locomotion gaits for modular robots. The learning is based on a stochastic approximation method, SPSA, which optimiz...
INTERSPEECH
2010
13 years 3 months ago
2010
Stochastic dependency parsers can achieve very good results when they are trained on large corpora that have been manually annotated. Active learning is a procedure that aims at r...