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131
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ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
15 years 10 months ago
Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
Debprakash Patnaik, Srivatsan Laxman, Naren Ramakr...
LREC
2008
193views Education» more  LREC 2008»
15 years 5 months ago
Eksairesis: A Domain-Adaptable System for Ontology Building from Unstructured Text
This paper describes Eksairesis, a system for learning economic domain knowledge automatically from Modern Greek text. The knowledge is in the form of economic terms and the seman...
Katia Kermanidis, Aristomenis Thanopoulos, Manolis...
129
Voted
ACIIDS
2010
IEEE
171views Database» more  ACIIDS 2010»
15 years 6 months ago
Evolving Concurrent Petri Net Models of Epistasis
Abstract. A genetic algorithm is used to learn a non-deterministic Petri netbased model of non-linear gene interactions, or statistical epistasis. Petri nets are computational mode...
Michael Mayo, Lorenzo Beretta
93
Voted
IAT
2005
IEEE
15 years 9 months ago
A Comparison of Adaptive and Static Agents in Equity Market Trading
This paper aims to determine whether an adaptive agent population performs better than a static population. A static population is evolved on historical equity market data from th...
Cyril Schoreels, Jonathan M. Garibaldi
PAAMS
2010
Springer
15 years 1 months ago
Variable Length-Based Genetic Representation to Automatically Evolve Wrappers
The Web has been the star service on the Internet, however the outsized information available and its decentralized nature has originated an intrinsic difficulty to locate, extract...
David F. Barrero, Antonio González-Pardo, M...