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EMMCVPR
2001
Springer
15 years 11 months ago
Designing the Minimal Structure of Hidden Markov Model by Bisimulation
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
Manuele Bicego, Agostino Dovier, Vittorio Murino
221
Voted
SEMCO
2007
IEEE
16 years 19 days ago
Large-Margin Discriminative Training of Hidden Markov Models for Speech Recognition
Discriminative training has been a leading factor for improving automatic speech recognition (ASR) performance over the last decade. The traditional discriminative training, howev...
Dong Yu, Li Deng
192
Voted
CSL
2010
Springer
15 years 6 months ago
Evaluation of a hierarchical reinforcement learning spoken dialogue system
We describe an evaluation of spoken dialogue strategies designed using hierarchical reinforcement learning agents. The dialogue strategies were learnt in a simulated environment a...
Heriberto Cuayáhuitl, Steve Renals, Oliver ...
207
Voted
TKDE
1998
163views more  TKDE 1998»
15 years 6 months ago
A Highly Effective Partition Selection Policy for Object Database Garbage Collection
—We investigate methods to improve the performance of algorithms for automatic storage reclamation of object databases. These algorithms are based on a technique called partition...
Jonathan E. Cook, Alexander L. Wolf, Benjamin G. Z...
176
Voted
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
16 years 16 days ago
Takeover times on scale-free topologies
The topological properties of a network directly impact the flow of information through a system. In evolving populations, the topology of inter-individual interactions affects th...
Joshua L. Payne, Margaret J. Eppstein