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» The Infinite Hidden Markov Model
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WABI
2005
Springer
118views Bioinformatics» more  WABI 2005»
15 years 4 months ago
A Hidden Markov Technique for Haplotype Reconstruction
We give a new algorithm for the genotype phasing problem. Our solution is based on a hidden Markov model for haplotypes. The model has a uniform structure, unlike most solutions pr...
Pasi Rastas, Mikko Koivisto, Heikki Mannila, Esko ...
FLAIRS
2008
15 years 1 months ago
Learning Dynamic Naive Bayesian Classifiers
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
Miriam Martínez, Luis Enrique Sucar
85
Voted
BVAI
2007
Springer
15 years 5 months ago
The Bayesian Draughtsman: A Model for Visuomotor Coordination in Drawing
Abstract. In this article we present a model of realistic drawing accounting for visuomotor coordination, namely the strategies adopted to coordinate the processes of eye and hand ...
Ruben Coen Cagli, Paolo Coraggio, Paolo Napoletano...
ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
15 years 5 months ago
Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State
This paper studies evolutionary clustering, which is a recently hot topic with many important applications, noticeably in social network analysis. In this paper, based on the rece...
Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, ...
73
Voted
AAAI
1997
15 years 12 days ago
Reinforcement Learning with Time
This paper steps back from the standard infinite horizon formulation of reinforcement learning problems to consider the simpler case of finite horizon problems. Although finite ho...
Daishi Harada