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» The complexity of stochastic sequences
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NN
2006
Springer
127views Neural Networks» more  NN 2006»
13 years 5 months ago
The asymptotic equipartition property in reinforcement learning and its relation to return maximization
We discuss an important property called the asymptotic equipartition property on empirical sequences in reinforcement learning. This states that the typical set of empirical seque...
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
STACS
2005
Springer
13 years 11 months ago
Kolmogorov-Loveland Randomness and Stochasticity
An infinite binary sequence X is Kolmogorov-Loveland (or KL) random if there is no computable non-monotonic betting strategy that succeeds on X in the sense of having an unbounde...
Wolfgang Merkle, Joseph S. Miller, André Ni...
ECCV
2000
Springer
14 years 7 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
ICPR
2008
IEEE
14 years 3 hour ago
Birkhoff polytopes, heat kernels and graph complexity
In this paper we use doubly stochastic matrices to establish a link between Birkhoff polytopes and heat kernels on graphs. Based on this analysis we construct a multi-dimensional ...
Francisco Escolano, Edwin R. Hancock, Miguel Angel...
TAPD
1998
81views more  TAPD 1998»
13 years 7 months ago
A Generalized CYK Algorithm for Parsing Stochastic CFG
We present a bottom-up parsing algorithm for stochastic context-free grammars that is able (1) to deal with multiple interpretations of sentences containing compoundwords; (2) to ...
Jean-Cédric Chappelier, Martin Rajman