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» Maintaining Case-Based Reasoning Systems: A Machine Learning...
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ICCBR
2010
Springer
15 years 4 months ago
A General Introspective Reasoning Approach to Web Search for Case Adaptation
Abstract. Acquiring adaptation knowledge for case-based reasoning systems is a challenging problem. Such knowledge is typically elicited from domain experts or extracted from the c...
David B. Leake, Jay H. Powell
GIS
2009
ACM
15 years 10 months ago
Machine learning approach to report prioritization with an application to travel time dissemination
This paper looks at the problem of data prioritization, commonly found in mobile ad-hoc networks. The proposed general solution uses a machine learning approach in order to learn ...
Piotr Szczurek, Bo Xu, Jie Lin, Ouri Wolfson
CCIA
2005
Springer
15 years 11 months ago
Comparison of Strategies Based on Evolutionary Computation for the Design of Similarity Functions
One of the main keys in case-based reasoning system is the retrieval phase, where the most similar cases are retrieved by means of a similarity function. According to the problem, ...
Albert Fornells-Herrera, J. Camps Dausà, El...
APIN
2008
108views more  APIN 2008»
15 years 5 months ago
Achieving self-healing in service delivery software systems by means of case-based reasoning
Abstract Self-healing, i.e. the capability of a system to autonomously detect failures and recover from them, is a very attractive property that may enable large-scale software sys...
Stefania Montani, Cosimo Anglano
ICCBR
2005
Springer
15 years 11 months ago
On the Effectiveness of Automatic Case Elicitation in a More Complex Domain
Automatic case elicitation (ACE) is a learning technique in which a case-based reasoning system acquires knowledge automatically from scratch through repeated real-time trial and e...
Siva N. Kommuri, Jay H. Powell, John D. Hastings