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GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
15 years 3 months ago
Post-processing clustering to reduce XCS variability
XCS is a stochastic algorithm, so it does not guarantee to produce the same results when run with the same input. When interpretability matters, obtaining a single, stable result ...
Flavio Baronti, Alessandro Passaro, Antonina Stari...
ISMB
1993
14 years 11 months ago
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman
IJCAI
2003
14 years 11 months ago
Trainability: Developing a responsive learning system
In this paper, we describe the lessons we learned in developing AgentBuilder, a commercial system for rapidly creating agents that extract information from web sites. AgentBuilder...
Steven Minton, Sorinel I. Ticrea, Jennifer Beach
ANLP
1992
116views more  ANLP 1992»
14 years 11 months ago
Automatic Learning for Semantic Collocation
The real di culty in development of practical NLP systems comes from the fact that we do not have e ective means for gathering \knowledge". In this paper, we propose an algor...
Satoshi Sekine, Jeremy J. Carroll, Sophia Ananiado...
AAI
2005
113views more  AAI 2005»
14 years 9 months ago
Analysis and Synthesis of Learning Agent's Communicative Behavior
This paper is about people. It is about understanding how learning and communication mutually influence one another; allowing people to infer each other's communicative behavi...
Nik Nailah Binti Abdullah, Stefano A. Cerri