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CCE
2007
15 years 2 months ago
Adaptive optimisation of noisy black-box functions inherent in microscopic models
For systems where exact constitutive relations are unknown, a microscopic level description can be alternatively used. As microscopic simulations are computationally expensive, th...
Eddie Davis, Marianthi G. Ierapetritou
TFM
2009
Springer
252views Formal Methods» more  TFM 2009»
15 years 9 months ago
Abstraction and Modelling: A Complementary Partnership
action and Modelling - a complementary partnership” 10h30 – 11h 00 Coffee break 11h-12h30 Session 1 “Model Transformation: Foundations” Algebraic models for bidirectional m...
Jeffrey Kramer
BMCBI
2005
99views more  BMCBI 2005»
15 years 2 months ago
Effective ambiguity checking in biosequence analysis
Background: Ambiguity is a problem in biosequence analysis that arises in various analysis tasks solved via dynamic programming, and in particular, in the modeling of families of ...
Janina Reeder, Peter Steffen, Robert Giegerich
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 2 months ago
Knowledge transfer via multiple model local structure mapping
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
Jing Gao, Wei Fan, Jing Jiang, Jiawei Han
MP
2006
87views more  MP 2006»
15 years 2 months ago
Convexity and decomposition of mean-risk stochastic programs
Abstract. Traditional stochastic programming is risk neutral in the sense that it is concerned with the optimization of an expectation criterion. A common approach to addressing ri...
Shabbir Ahmed