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ML
2007
ACM
106views Machine Learning» more  ML 2007»
15 years 4 months ago
Surrogate maximization/minimization algorithms and extensions
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
154
Voted
ICWS
2009
IEEE
15 years 2 months ago
Discovery of Optimized Web Service Configurations Using a Hybrid Semantic and Statistical Approach
We present a Semantic Optimized Service Discovery (SemOSD) approach capable of handling Web service search requests on a fine-grained level of detail where we augment semantic ser...
Maciej Zaremba, Jacek Migdal, Manfred Hauswirth
149
Voted
INTERSPEECH
2010
14 years 12 months ago
Augmentation of adaptation data
Linear regression based speaker adaptation approaches can improve Automatic Speech Recognition (ASR) accuracy significantly for a target speaker. However, when the available adapt...
Ravichander Vipperla, Steve Renals, Joe Frankel
138
Voted
APSEC
2005
IEEE
15 years 10 months ago
Describing and Verifying Integrated Services of Home Network Systems
This paper presents a framework to specify and verify integrated services of a home network system (HNS). We first develop a modeling language to describe the HNS and the integra...
Pattara Leelaprute, Tatsuhiro Tsuchiya, Tohru Kiku...
PRICAI
2004
Springer
15 years 10 months ago
Model Theory for PRS-Like Agents: Modelling Belief Update and Action Attempts
In this paper, we extend our earlier work on modelling the mental states of PRS-like agents by considering the dynamics of belief and modelling of action attempts. The major constr...
Wayne Wobcke