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AAAI
1997
13 years 11 months ago
Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
Milos Hauskrecht
UAI
1998
13 years 11 months ago
Hierarchical Solution of Markov Decision Processes using Macro-actions
tigate the use of temporally abstract actions, or macro-actions, in the solution of Markov decision processes. Unlike current models that combine both primitive actions and macro-...
Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kae...
TSP
2008
101views more  TSP 2008»
13 years 9 months ago
Reduced-Complexity Soft MIMO Detection Based on Causal and Noncausal Decision Feedback
We present a reduced-complexity soft detection (RCSD) scheme geared to multiple-input multiple-output (MIMO) systems with spatial domain multiplexing leading to layered space-time ...
Yong Li, Jaekyun Moon
INTERSPEECH
2010
13 years 4 months ago
Context adaptive training with factorized decision trees for HMM-based speech synthesis
To achieve natural high quality synthesised speech in HMMbased speech synthesis, the effective modelling of complex acoustic and linguistic contexts is critical. Traditional appro...
Kai Yu, Heiga Zen, François Mairesse, Steve...
SIGIR
2008
ACM
13 years 9 months ago
Towards breaking the quality curse.: a web-querying approach to web people search
Searching for people on the Web is one of the most common query types to the web search engines today. However, when a person name is queried, the returned webpages often contain ...
Dmitri V. Kalashnikov, Rabia Nuray-Turan, Sharad M...