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ICCBR
2005
Springer
14 years 13 days 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...
AAAI
1996
13 years 8 months ago
Learning Efficient Rules by Maintaining the Explanation Structure
Many learning systems suffer from the utility problem; that is, that time after learning is greater than time before learning. Discovering how to assure that learned knowledge wil...
Jihie Kim, Paul S. Rosenbloom
AIPS
2006
13 years 8 months ago
Explanation-Based Acquisition of Planning Operators
Classical planning algorithms require that their operators be simple in order for planning to be tractable. However, the complexities of real world domains suggest that, in order ...
Geoffrey Levine, Gerald DeJong
CHI
2009
ACM
14 years 7 months ago
Why and why not explanations improve the intelligibility of context-aware intelligent systems
Context-aware intelligent systems employ implicit inputs, and make decisions based on complex rules and machine learning models that are rarely clear to users. Such lack of system...
Brian Y. Lim, Anind K. Dey, Daniel Avrahami
AIR
2005
126views more  AIR 2005»
13 years 6 months ago
The Explanatory Power of Symbolic Similarity in Case-Based Reasoning
A desired capability of automatic problem solvers is that they can explain the results. Such explanations should justify that the solution proposed by the problem solver arises fr...
Enric Plaza, Eva Armengol, Santiago Ontañ&o...