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124
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SIAMSC
2010
159views more  SIAMSC 2010»
14 years 11 months ago
Parameter and State Model Reduction for Large-Scale Statistical Inverse Problems
A greedy algorithm for the construction of a reduced model with reduction in both parameter and state is developed for efficient solution of statistical inverse problems governed b...
Chad Lieberman, Karen Willcox, Omar Ghattas
169
Voted
CSL
2012
Springer
13 years 8 months ago
Reinforcement learning for parameter estimation in statistical spoken dialogue systems
Reinforcement techniques have been successfully used to maximise the expected cumulative reward of statistical dialogue systems. Typically, reinforcement learning is used to estim...
Filip Jurcícek, Blaise Thomson, Steve Young
CAISE
1999
Springer
15 years 5 months ago
Towards a Classification Framework for Application Granularity in Workflow Management Systems
The support of process enactment through the use of workflow management systems has gained considerable attention within the last few years. We develop a classification framework c...
Jörg Becker, Michael zur Muehlen
103
Voted
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
15 years 7 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
151
Voted
PODS
1999
ACM
160views Database» more  PODS 1999»
15 years 5 months ago
Queries with Incomplete Answers over Semistructured Data
Semistructured data occur in situations where information lacks a homogeneous structure and is incomplete. Yet, up to now the incompleteness of information has not been re ected b...
Yaron Kanza, Werner Nutt, Yehoshua Sagiv