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» Learning Rule Representations from Boolean Data
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117
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AIME
1997
Springer
15 years 4 months ago
Detecting Very Early Stages of Dementia from Normal Aging with Machine Learning Methods
We used Machine Learning (ML) methods to learn the best decision rules to distinguish normal brain aging from the earliest stages of dementia using subsamples of 198 normal and 244...
William Rodman Shankle, Subramani Mani, Michael J....
103
Voted
JDWM
2007
122views more  JDWM 2007»
15 years 11 days ago
A Hyper-Heuristic for Descriptive Rule Induction
Rule induction from examples is a machine learning technique that finds rules of the form condition → class, where condition and class are logic expressions of the form variable...
Tho Hoan Pham, Tu Bao Ho
87
Voted
ICML
2010
IEEE
14 years 10 months ago
Approximate Predictive Representations of Partially Observable Systems
We provide a novel view of learning an approximate model of a partially observable environment from data and present a simple implemenf the idea. The learned model abstracts away ...
Monica Dinculescu, Doina Precup
98
Voted
SAINT
2005
IEEE
15 years 6 months ago
Learning Logic Wrappers for Information Extraction from the Web
This paper discusses a methodology for applying general-purpose first-order inductive learning to extract information from Web documents structured as unranked ordered trees. The...
Costin Badica, Elvira Popescu, Amelia Badica
108
Voted
ICPR
2006
IEEE
16 years 1 months ago
Dissimilarity-based classification for vectorial representations
General dissimilarity-based learning approaches have been proposed for dissimilarity data sets [11, 10]. They arise in problems in which direct comparisons of objects are made, e....
Elzbieta Pekalska, Robert P. W. Duin