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IJCAI
2001
15 years 8 months ago
An Improved Grid-Based Approximation Algorithm for POMDPs
Although a partially observable Markov decision process (POMDP) provides an appealing model for problems of planning under uncertainty, exact algorithms for POMDPs are intractable...
Rong Zhou, Eric A. Hansen
NIPS
2000
15 years 8 months ago
Rate-coded Restricted Boltzmann Machines for Face Recognition
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
Yee Whye Teh, Geoffrey E. Hinton
ANSS
2005
IEEE
16 years 9 days ago
Approximation of Discrete Phase-Type Distributions
The analysis of discrete stochastic models such as generally distributed stochastic Petri nets can be done using state space-based methods. The behavior of the model is described ...
Claudia Isensee, Graham Horton
FSTTCS
2004
Springer
16 years 1 days ago
Verifying Probabilistic Procedural Programs
Abstract. Monolithic finite-state probabilistic programs have been abstractly modeled by finite Markov chains, and the algorithmic verification problems for them have been inves...
Javier Esparza, Kousha Etessami
LREC
2008
85views Education» more  LREC 2008»
15 years 8 months ago
POS Tagging for German: how important is the Right Context?
Part-of-Speech tagging is generally performed by Markov models, based on bigram or trigram models. While Markov models have a strong concentration on the left context of a word, m...
Steliana Ivanova, Sandra Kuebler