1150 search results - page 95 / 230 » Tackling Large State Spaces in Performance Modelling |
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ICASSP
2009
IEEE
15 years 10 months ago
2009
IEEE
Semi-continuous acoustic models, where the output distributions for all Hidden Markov Model states share a common codebook of Gaussian density functions, are a well-known and prov...
169
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IJCAI
2007
15 years 5 months ago
2007
To test large scale socially embedded systems, this paper proposes a multiagent-based participatory design that consists of two steps; 1) participatory simulation, where scenario-...
124
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ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
135
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NAACL
2003
15 years 5 months ago
2003
It is well known that frame independence assumption is a fundamental limitation of current HMM based speech recognition systems. By treating each speech frame independently, HMMs ...
123
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SAMOS
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. Loop unrolling plays an important role in compilation for Reconfigurable Processing Units (RPUs) as it exposes operator parallelism and enables other transformations (e.g...