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KDD
2004
ACM
132views Data Mining» more  KDD 2004»
15 years 10 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
UIALL
2004
Springer
15 years 3 months ago
A Framework for Context-Sensitive Coordination of Human Interruptions in Human-Computer Interaction
Abstract. Recent trends in software development directed toward intelligence, distribution, and mobility need to be followed by an increased sophistication in user interface design...
Sonja Gievska, John L. Sibert
KDD
2007
ACM
155views Data Mining» more  KDD 2007»
15 years 10 months ago
A framework for community identification in dynamic social networks
We propose frameworks and algorithms for identifying communities in social networks that change over time. Communities are intuitively characterized as "unusually densely kni...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf, D...
AAAI
1996
14 years 11 months ago
A Connectionist Framework for Reasoning: Reasoning with Examples
We present a connectionist architecture that supports almost instantaneous deductive and abductive reasoning. The deduction algorithm responds in few steps for single rule queries...
Dan Roth
CORR
2010
Springer
188views Education» more  CORR 2010»
14 years 9 months ago
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
High-dimensional statistical inference deals with models in which the the number of parameters p is comparable to or larger than the sample size n. Since it is usually impossible ...
Sahand Negahban, Pradeep Ravikumar, Martin J. Wain...