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GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
15 years 8 months ago
Evolution, development and learning using self-modifying cartesian genetic programming
Self-Modifying Cartesian Genetic Programming (SMCGP) is a form of genetic programming that integrates developmental (self-modifying) features as a genotype-phenotype mapping. This...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
AAAI
2007
15 years 6 months ago
Knowledge-Driven Learning and Discovery
The goal of our current research is machine learning with the help and guidance of a knowledge base (KB). Rather than learning numerical models, our approach generates explicit sy...
Benjamin Lambert, Scott E. Fahlman
ICMLA
2007
15 years 5 months ago
Learning complex problem solving expertise from failures
Our research addresses the issue of developing knowledge-based agents that capture and use the problem solving knowledge of subject matter experts from diverse application domains...
Cristina Boicu, Gheorghe Tecuci, Mihai Boicu
SEMCO
2007
IEEE
15 years 10 months ago
Modeling Discriminative Global Inference
Many recent advances in complex domains such as Natural Language Processing (NLP) have taken a discriminative approach in conjunction with the global application of structural and...
Nicholas Rizzolo, Dan Roth
142
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COMPSAC
2002
IEEE
15 years 8 months ago
Understanding SQL through Iconic Interfaces
Visual Query Languages represent an evolution, in terms of understandability and adaptability, with respect to traditional textual languages. We present an iconic query system tha...
Lerina Aversano, Gerardo Canfora, Andrea De Lucia,...