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» Maintaining Case-Based Reasoning Systems: A Machine Learning...
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ICCBR
2010
Springer
13 years 6 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
14 years 9 days 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
14 years 1 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»
13 years 7 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
14 years 1 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