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BIBE
2006
IEEE
160views Bioinformatics» more  BIBE 2006»
15 years 3 months ago
Methods for Random Modularization of Biological Networks
— Biological networks are formalized summaries of our knowledge about interactions among biological system components, like genes, proteins, or metabolites. From their global top...
Zachary M. Saul, Vladimir Filkov
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 1 months ago
A neural evolutionary approach to financial modeling
This paper presents an approach to the joint optimization of neural network structure and weights which can take advantage of backpropagation as a specialized decoder. The approac...
Antonia Azzini, Andrea Tettamanzi
EDM
2010
150views Data Mining» more  EDM 2010»
14 years 11 months ago
Modeling Learning Trajectories with Epistemic Network Analysis: A Simulation-based Investigation of a Novel Analytic Method for
Epistemic games are designed to help players develop domain-specific expertise that characterizes how professionals in a particular domain reason, communicate, and act [1, 11]. To ...
Andre A. Rupp, Shauna J. Sweet, Younyoung Choi
CSE
2009
IEEE
15 years 4 months ago
Collaborative Mining in Multiple Social Networks Data for Criminal Group Discovery
—The hidden knowledge in social networks data can be regarded as an important resource for criminal investigations which can help finding the structure and organization of a crim...
Amin Milani Fard, Martin Ester
AIEDU
2005
106views more  AIEDU 2005»
14 years 9 months ago
A Comparison of Model-Tracing and Constraint-Based Intelligent Tutoring Paradigms
Two approaches to building intelligent tutoring systems are the well-established model-tracing paradigm and the relatively newer constraint-based paradigm. Proponents of the constr...
Viswanathan Kodaganallur, Rob R. Weitz, David Rose...