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» Properties of state spaces and their applications
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ICML
2008
IEEE
16 years 7 months ago
An HDP-HMM for systems with state persistence
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
ICASSP
2008
IEEE
16 years 18 days ago
Bayesian update of dialogue state for robust dialogue systems
This paper presents a new framework for accumulating beliefs in spoken dialogue systems. The technique is based on updating a Bayesian Network that represents the underlying state...
Blaise Thomson, Jost Schatzmann, Steve Young
TCIAIG
2010
15 years 26 days ago
The Parametrized Probabilistic Finite-State Transducer Probe Game Player Fingerprint Model
Abstract--Fingerprinting operators generate functional signatures of game players and are useful for their automated analysis independent of representation or encoding. The theory ...
Jeffrey Tsang
IGARSS
2010
15 years 4 months ago
Fostering applications opportunities for the NASA Soil Moisture Active Passive (SMAP) Mission
The NASA Soil Moisture Active Passive (SMAP) Mission will provide global observations of soil moisture and freeze/thaw state from space. We outline how priority applications contr...
M. Susan Moran, Peggy O'Neill, Dara Entekhabi, Eni...
DMIN
2009
119views Data Mining» more  DMIN 2009»
15 years 3 months ago
Abnormal Process State Detection by Cluster Center Point Monitoring in BWR Nuclear Power Plant
This paper proposes a new method to detect abnormal process state. The method is based on cluster center point monitoring in time and is demonstrated in its application to data fro...
Jaakko Talonen, Miki Sirola