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...
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 ...
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...
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...
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...