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» Post-Analysis of Learned Rules
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AI
2008
Springer
14 years 11 months ago
An experimental evaluation of simplicity in rule learning
While recent research on rule learning has focussed largely on finding highly accurate hypotheses, we evaluate the degree to which these hypotheses are also simple, that is small....
Ulrich Rückert, Luc De Raedt
SIGMOD
2011
ACM
242views Database» more  SIGMOD 2011»
14 years 2 months ago
The SystemT IDE: an integrated development environment for information extraction rules
Information Extraction (IE) — the problem of extracting structured information from unstructured text — has become the key enabler for many enterprise applications such as sem...
Laura Chiticariu, Vivian Chu, Sajib Dasgupta, Thil...
AAAI
1996
15 years 1 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
TFS
2008
157views more  TFS 2008»
14 years 11 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin
AAAI
2012
13 years 2 months ago
Learning Games from Videos Guided by Descriptive Complexity
In recent years, several systems have been proposed that learn the rules of a simple card or board game solely from visual demonstration. These systems were constructed for speciï...
Lukasz Kaiser