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139
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KDD
2004
ACM
132views Data Mining» more  KDD 2004»
16 years 4 months ago
A probabilistic framework for semi-supervised clustering
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
Sugato Basu, Mikhail Bilenko, Raymond J. Mooney
141
Voted
ICSE
2007
IEEE-ACM
16 years 3 months ago
Software Development Environments for Scientific and Engineering Software: A Series of Case Studies
The need for high performance computing applications for computational science and engineering projects is growing rapidly, yet there have been few detailed studies of the softwar...
Jeffrey C. Carver, Richard P. Kendall, Susan E. Sq...
168
Voted
MIR
2006
ACM
223views Multimedia» more  MIR 2006»
15 years 9 months ago
Adaptive image retrieval using a Graph model for semantic feature integration
The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selectio...
Jana Urban, Joemon M. Jose
142
Voted
GECCO
2005
Springer
220views Optimization» more  GECCO 2005»
15 years 9 months ago
Scale invariant pareto optimality: a meta--formalism for characterizing and modeling cooperativity in evolutionary systems
This article describes a mathematical framework for characterizing cooperativity in complex systems subject to evolutionary pressures. This framework uses three foundational compo...
Mark Fleischer
130
Voted
AAAI
2008
15 years 5 months ago
Ensemble Forecasting for Disease Outbreak Detection
We describe a method to improve detection of disease outbreaks in pre-diagnostic time series data. The method uses multiple forecasters and learns the linear combination to minimi...
Thomas H. Lotze, Galit Shmueli