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» Representing and Executing Agent-Based Systems
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KDD
2003
ACM
149views Data Mining» more  KDD 2003»
15 years 10 months ago
Knowledge-based data mining
We describe techniques for combining two types of knowledge systems: expert and machine learning. Both the expert system and the learning system represent information by logical d...
Søren Damgaard, Sholom M. Weiss, Shubir Kap...
LCTRTS
2004
Springer
15 years 3 months ago
Feedback driven instruction-set extension
Application specific instruction-set processors combine an efficient general purpose core with special purpose functionality that is tailored to a particular application domain. ...
Uwe Kastens, Dinh Khoi Le, Adrian Slowik, Michael ...
72
Voted
ICCBR
2010
Springer
15 years 2 months ago
Imitating Inscrutable Enemies: Learning from Stochastic Policy Observation, Retrieval and Reuse
In this paper we study the topic of CBR systems learning from observations in which those observations can be represented as stochastic policies. We describe a general framework wh...
Kellen Gillespie, Justin Karneeb, Stephen Lee-Urba...
DLOG
2007
15 years 21 days ago
Retrospective on Clio: Schema Mapping and Data Exchange in Practice
Clio is a joint research project between the University of Toronto and IBM Almaden Research Center started in 1999 to address both foundational and systems issues related to the ma...
Renée J. Miller
ECSA
2010
Springer
14 years 10 months ago
Learning from the Cell Life-Cycle: A Self-adaptive Paradigm
In the software domain, self-adaptive systems are able to modify their behavior at run-time to respond to changes in the environment they run, to changes of the users' require...
Antinisca Di Marco, Francesco Gallo, Paola Inverar...