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» Neural Network Supported Adaptation in Case-based Reasoning
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ECAI
1990
Springer
15 years 1 months ago
Knowledge-Intensive Case-Based Reasoning and Sustained Learning
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previously solved case, using the past solution in solving the new problem. A case-based...
Agnar Aamodt
ICCBR
2009
Springer
14 years 7 months ago
Toward Modeling and Teaching Legal Case-Based Adaptation with Expert Examples
Studying examples of expert case-based adaptation could advance computational modeling but only if the examples can be succinctly represented and reliably interpreted. Supreme Cour...
Kevin D. Ashley, Collin Lynch, Niels Pinkwart, Vin...
ICCBR
2005
Springer
15 years 3 months ago
Knowledge Intensive Case Based Support for Automated Explanation of Biological Phenomena
The rapid growth of data stored in molecular biology-related databases has stimulated the development of integrative tools for retrieval and presentation of the data in the form of...
Waclaw Kusnierczyk, Agnar Aamodt, Astrid Læg...
HAIS
2010
Springer
15 years 2 months ago
CBRid4SQL: A CBR Intrusion Detector for SQL Injection Attacks
One of the most serious security threats to recently deployed databases has been the SQL Injection attack. This paper presents an agent specialised in the detection of SQL injectio...
Cristian Pinzón, Álvaro Herrero, Jua...
FLAIRS
2003
14 years 11 months ago
Dispatching Cases versus Merging Case-Bases: When MCBR Matters
Multi-case-base reasoning (MCBR) extends case-based reasoning to draw on multiple case bases that may address somewhat different tasks. In MCBR, an agent selectively supplements i...
David B. Leake, Raja Sooriamurthi