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STAIRS
2008
109views Education» more  STAIRS 2008»
13 years 11 months ago
Representing Case Variations for Learning General and Specific Adaptation Rules
Adaptation is a task of case-based reasoning systems that is largely domain-dependant. This motivates the study of adaptation knowledge acquisition (AKA) that can be carried out th...
Fadi Badra, Jean Lieber
JAIR
2006
110views more  JAIR 2006»
13 years 9 months ago
Domain Adaptation for Statistical Classifiers
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
Hal Daumé III, Daniel Marcu
CONCUR
2012
Springer
12 years 1 days ago
A Theory of History Dependent Abstractions for Learning Interface Automata
Fides Aarts, Faranak Heidarian, Frits W. Vaandrage...
ICML
2003
IEEE
14 years 10 months ago
Representational Issues in Meta-Learning
To address the problem of algorithm selection for the classification task, we equip a relational case base with new similarity measures that are able to cope with multirelational ...
Alexandros Kalousis, Melanie Hilario
MATA
2004
Springer
101views Communications» more  MATA 2004»
14 years 3 months ago
Mobile Tourist Guide Services with Software Agents
Applications for mobile devices have some restrictions because of the limited capabilities and heterogeneity of these devices. However, their communication capabilities allow the d...
Juan Pavón, Juan M. Corchado, Jorge J. G&oa...