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» Knowledge and Structure in Social Algorithms
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GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
13 years 11 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
PR
2006
116views more  PR 2006»
13 years 7 months ago
Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
Stefano Rovetta, Francesco Masulli
KDD
2000
ACM
115views Data Mining» more  KDD 2000»
13 years 11 months ago
A framework for specifying explicit bias for revision of approximate information extraction rules
Information extraction is one of the most important techniques used in Text Mining. One of the main problems in building information extraction (IE) systems is that the knowledge ...
Ronen Feldman, Yair Liberzon, Binyamin Rosenfeld, ...
HICSS
2010
IEEE
225views Biometrics» more  HICSS 2010»
14 years 2 months ago
A Comparative Analysis of Professional Forums in the United States Army and Hybrid Communities of Practice in the Civilian Secto
Communities of practice (COPs) have been around since the founding of the first social networks many millennia ago. Organizations around the world over the last two decades have l...
Jon Brickey, Steven Walczak
ATAL
2009
Springer
14 years 2 months ago
Operational semantics of goal models in adaptive agents
Several agent-oriented software engineering methodologies address the emerging challenges posed by the increasing need of adaptive software. A common denominator of such methodolo...
Mirko Morandini, Loris Penserini, Anna Perini