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» Learning Rule Representations from Boolean Data
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EUSFLAT
2003
107views Fuzzy Logic» more  EUSFLAT 2003»
15 years 2 months ago
Decision-theoretic approaches in fuzzy rule generation for diagnosis and fault detection problems
A typical task in technical fault detection or medical diagnosis problems is to discriminate normal behavior from one or more types of abnormal behavior by means of different meas...
Sebastian Beck, Ralf Mikut, Jens Jäkel, Georg...
ICOST
2011
Springer
14 years 4 months ago
Using Association Rule Mining to Discover Temporal Relations of Daily Activities
The increasing aging population has inspired many machine learning researchers to find innovative solutions for assisted living. A problem often encountered in assisted living set...
Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook
GECCO
2007
Springer
173views Optimization» more  GECCO 2007»
15 years 6 months ago
UCSpv: principled voting in UCS rule populations
Credit assignment is a fundamental issue for the Learning Classifier Systems literature. We engage in a detailed investigation of credit assignment in one recent system called UC...
Gavin Brown, Tim Kovacs, James A. R. Marshall
SIGMOD
2011
ACM
242views Database» more  SIGMOD 2011»
14 years 3 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...
IJCAI
1997
15 years 1 months ago
Using Case-Based Reasoning in Interpreting Unsupervised Inductive Learning Results
The objective of this work is to interpret inductive results obtained by the unsupervised learning method OSHAM. We briefly introduce the learning process of OSHAM, that extracts ...
Tu Bao Ho, Chi Main Luong