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» Ontological Framework for Approximation
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BMCBI
2008
139views more  BMCBI 2008»
15 years 6 months ago
The C1C2: A framework for simultaneous model selection and assessment
Background: There has been recent concern regarding the inability of predictive modeling approaches to generalize to new data. Some of the problems can be attributed to improper m...
Martin Eklund, Ola Spjuth, Jarl E. S. Wikberg
CSL
2010
Springer
15 years 6 months ago
Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems
This paper describes a statistically motivated framework for performing real-time dialogue state updates and policy learning in a spoken dialogue system. The framework is based on...
Blaise Thomson, Steve Young
ECCV
2006
Springer
16 years 8 months ago
Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Dahua Lin, Xiaoou Tang
ICSE
2009
IEEE-ACM
16 years 24 days ago
MINTS: A general framework and tool for supporting test-suite minimization
Regression test suites tend to grow over time as new test cases are added to exercise new functionality or to target newly-discovered faults. When test suites become too large, th...
Hwa-You Hsu, Alessandro Orso
194
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SIGMETRICS
2003
ACM
165views Hardware» more  SIGMETRICS 2003»
15 years 11 months ago
A hybrid systems modeling framework for fast and accurate simulation of data communication networks
In this paper we present a general hybrid systems modeling framework to describe the flow of traffic in communication networks. To characterize network behavior, these models use...
Stephan Bohacek, João P. Hespanha, Junsoo L...