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AI
2011
Springer
14 years 7 months ago
Learning Dialogue POMDP Models from Data
In this paper, we learn the components of dialogue POMDP models from data. In particular, we learn the states, observations, as well as transition and observation functions based o...
Hamid R. Chinaei, Brahim Chaib-draa
PKDD
2005
Springer
122views Data Mining» more  PKDD 2005»
15 years 9 months ago
A Probabilistic Clustering-Projection Model for Discrete Data
For discrete co-occurrence data like documents and words, calculating optimal projections and clustering are two different but related tasks. The goal of projection is to find a ...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
121
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ICICS
2003
Springer
15 years 9 months ago
A Compound Intrusion Detection Model
Intrusion detection systems (IDSs) have become a critical part of security systems. The goal of an intrusion detection system is to identify intrusion effectively and accurately. ...
Jianhua Sun, Hai Jin, Hao Chen, Qian Zhang, Zongfe...
ICASSP
2011
IEEE
14 years 7 months ago
On selecting the hyperparameters of the DPM models for the density estimation of observation errors
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
Asma Rabaoui, Nicolas Viandier, Juliette Marais, E...
IPMI
2009
Springer
16 years 4 months ago
Tractography Segmentation Using a Hierarchical Dirichlet Processes Mixture Model
In this paper, we propose a new nonparametric Bayesian framework to cluster white matter fiber tracts into bundles using a hierarchical Dirichlet processes mixture (HDPM) model. Th...
Carl-Fredrik Westin, W. Eric L. Grimson, Xiaogang ...