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» Reasoning from Data Rather than Theory
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ECAI
1990
Springer
13 years 11 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
FSKD
2011
Springer
313views Fuzzy Logic» more  FSKD 2011»
12 years 7 months ago
Robust initialization for reasoning procedures in a hierarchical heterogeneous knowledge-base
—This paper describes a model of a hierarchical, heterogeneous knowledge-base. The proposed model consists of an associative level that is implemented by a Kanerva-like sparse di...
Slobodan Ribaric, Darijan Marcetic, Zongmin Ma
MICAI
2010
Springer
13 years 6 months ago
Combining Neural Networks Based on Dempster-Shafer Theory for Classifying Data with Imperfect Labels
This paper addresses the supervised learning in which the class membership of training data are subject to uncertainty. This problem is tackled in the framework of the Dempster-Sha...
Mahdi Tabassian, Reza Ghaderi, Reza Ebrahimpour
PODS
2006
ACM
156views Database» more  PODS 2006»
14 years 7 months ago
From statistical knowledge bases to degrees of belief: an overview
An intelligent agent will often be uncertain about various properties of its environment, and when acting in that environment it will frequently need to quantify its uncertainty. ...
Joseph Y. Halpern
SOFTVIS
2006
ACM
14 years 1 months ago
Mondrian: an agile information visualization framework
Data visualization is the process of representing data as pictures to support reasoning about the underlying data. For the interpretation to be as easy as possible, we need to be ...
Michael Meyer, Tudor Gîrba, Mircea Lungu