1957 search results - page 76 / 392 » Approximate algorithms for neural-Bayesian approaches |
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JMLR
2012
13 years 6 days ago
2012
This paper considers additive factorial hidden Markov models, an extension to HMMs where the state factors into multiple independent chains, and the output is an additive function...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
TASLP
2008
14 years 9 months ago
2008
In this paper, we introduce cross-multiplicative transfer function (CMTF) approximation for modeling linear systems in the short-time Fourier transform (STFT) domain. We assume tha...
ANOR
2004
14 years 9 months ago
2004
Abstract. In recent years we have seen an increasing interest in combining constraint satisfaction problem (CSP) formulations and linear programming (LP) based techniques for solvi...
CGF
2002
14 years 9 months ago
2002
We extend the standard solution to comic rendering with a comic-style specular component. To minimise the computational overhead associated with this extension, we introduce two o...