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116
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CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
15 years 7 months ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
123
Voted
CP
1998
Springer
15 years 6 months ago
Modelling CSP Solution Algorithms with Petri Decision Nets
The constraint paradigm provides powerful concepts to represent and solve different kinds of planning problems, e. g. factory scheduling. Factory scheduling is a demanding optimiz...
Stephan Pontow
ICML
2009
IEEE
16 years 3 months ago
Approximate inference for planning in stochastic relational worlds
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
Tobias Lang, Marc Toussaint
CONEXT
2008
ACM
15 years 4 months ago
On cooperative settlement between content, transit and eyeball internet service providers
Internet service providers (ISPs) depend on one another to provide global network services. However, the profit-seeking nature of the ISPs leads to selfish behaviors that result i...
Richard T. B. Ma, Dah-Ming Chiu, John C. S. Lui, V...
MODELS
2007
Springer
15 years 8 months ago
Finding the Pattern You Need: The Design Pattern Intent Ontology
Abstract. Since the seminal book by the Gang of Four, design patterns have proven an important tool in software development. Over time, more and more patterns have been discovered ...
Holger Kampffmeyer, Steffen Zschaler