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GECCO
2005
Springer
149views Optimization» more  GECCO 2005»
16 years 7 days ago
There's more to a model than code: understanding and formalizing in silico modeling experience
Mapping biology into computation has both a domain specific aspect – biological theory – and a methodological aspect – model development. Computational modelers have implici...
Janet Wiles, Nicholas Geard, James Watson, Kai Wil...
SIGKDD
2002
232views more  SIGKDD 2002»
15 years 6 months ago
The True Lift Model - A Novel Data Mining Approach to Response Modeling in Database Marketing
In database marketing, data mining has been used extensively to find the optimal customer targets so as to maximize return on investment. In particular, using marketing campaign d...
Victor S. Y. Lo
DICTA
2003
15 years 8 months ago
Background Modeling and Subtraction Using a Local-linear-dependence-based Cauchy Statistical Model
:Many motion object detection algorithms rely on the process of background subtraction, an important technique which is used for detecting changes from a model of the background ...
Ying Ming, Jingjue Jiang, Jun Ming
CSL
2007
Springer
15 years 10 months ago
Lambda Theories of Effective Lambda Models
Abstract. A longstanding open problem is whether there exists a nonsyntactical model of the untyped -calculus whose theory is exactly the least -theory . In this paper we investiga...
Chantal Berline, Giulio Manzonetto, Antonino Salib...
BMCBI
2004
208views more  BMCBI 2004»
15 years 6 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein