515 search results - page 44 / 103 » Approximating Markov Processes by Averaging |
NIPS
2004
15 years 3 months ago
2004
We introduce a new algorithm based on linear programming that approximates the differential value function of an average-cost Markov decision process via a linear combination of p...
ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, loglinear models without mixtures have been u...
ICASSP
2009
IEEE
15 years 8 months ago
2009
IEEE
In this paper, we propose a Bayesian model and a Monte Carlo Markov chain (MCMC) algorithm for reconstructing images that consist of only few non-zero pixels. An appropriate distr...
106
click to vote
ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...
113
click to vote
STACS
1997
Springer
15 years 6 months ago
1997
Springer
Exotic semirings such as the “(max, +) semiring” (R ∪ {−∞}, max, +), or the “tropical semiring” (N ∪ {+∞}, min, +), have been invented and reinvented many times s...