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NEUROSCIENCE
2001
Springer
14 years 16 days ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar
METRICS
1999
IEEE
14 years 11 days ago
Measurements Should Generate Value, Rather than Data
Success factors for measurement programs as identified in the literature typically focus on the `internals' of the measurement program: incremental implementation, support fr...
Frank Niessink, Hans van Vliet
CORR
2010
Springer
193views Education» more  CORR 2010»
13 years 6 months ago
A Probabilistic Approach for Learning Folksonomies from Structured Data
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach t...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
SAC
2008
ACM
13 years 7 months ago
Adding background knowledge to formal concept analysis via attribute dependency formulas
We present a way to add user's background knowledge to formal concept analysis. The type of background knowledge we deal with relates to relative importance of attributes in ...
Radim Belohlávek, Vilém Vychodil
ACMICEC
2006
ACM
141views ECommerce» more  ACMICEC 2006»
14 years 2 months ago
From HTML documents to web tables and rules
We present a browser-extending Semantic Web extraction system that maps HTML documents to tables and, where possible, to rules. First, the basic data extractor ViPER distills and ...
Kai Simon, Georg Lausen, Harold Boley