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» Modeling Gene Networks using Fuzzy Logic
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ILP
2007
Springer
15 years 10 months ago
Using Bayesian Networks to Direct Stochastic Search in Inductive Logic Programming
Stochastically searching the space of candidate clauses is an appealing way to scale up ILP to large datasets. We address an approach that uses a Bayesian network model to adaptive...
Louis Oliphant, Jude W. Shavlik
ITCC
2005
IEEE
15 years 9 months ago
Real Stock Trading Using Soft Computing Models
The main focus of this study is to compare different performances of soft computing paradigms for predicting the direction of individuals stocks. Three different artificial intell...
Brent Doeksen, Ajith Abraham, Johnson P. Thomas, M...
ESANN
2001
15 years 5 months ago
Prediction of foreign exchange rates by neural network and fuzzy system based techniques
: Forecasting currency exchange rates are an important financial problem that is receiving increasing attention especially because of its intrinsic difficulty and practical applica...
Vassilis S. Kodogiannis, A. Lolis
CEC
2007
IEEE
15 years 8 months ago
Emergence of feedback in artificial gene regulatory networks
In this paper, we present a model for simulating the evolution of development together with a method for the analysis of emergence of negative feedback inside the regulatory networ...
Till Steiner, Lisa Schramm, Yaochu Jin, Bernhard S...
WABI
2009
Springer
124views Bioinformatics» more  WABI 2009»
15 years 10 months ago
Mimosa: Mixture Model of Co-expression to Detect Modulators of Regulatory Interaction
Background: Functionally related genes tend to be correlated in their expression patterns across multiple conditions and/or tissue-types. Thus co-expression networks are often use...
Matthew Hansen, Logan Everett, Larry Singh, Sridha...