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» On the Comparability of Software Clustering Algorithms
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ICML
2009
IEEE
16 years 4 months ago
Archipelago: nonparametric Bayesian semi-supervised learning
Semi-supervised learning (SSL), is classification where additional unlabeled data can be used to improve accuracy. Generative approaches are appealing in this situation, as a mode...
Ryan Prescott Adams, Zoubin Ghahramani
121
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ICML
2006
IEEE
16 years 4 months ago
A continuation method for semi-supervised SVMs
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...
Olivier Chapelle, Mingmin Chi, Alexander Zien
ISBI
2002
IEEE
16 years 4 months ago
Support vector machine learning for detection of microcalcifications in mammograms
Microcalcification (MC) clusters in mammograms can be an indicator of breast cancer. In this work we propose for the first time the use of support vector machine (SVM) learning fo...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
ICCD
2006
IEEE
126views Hardware» more  ICCD 2006»
16 years 11 days ago
Task Merging for Dynamic Power Management of Cyclic Applications in Real-Time Multi-Processor Systems
—In this paper we propose the method of task merging and idle period clustering for dynamic power management (DPM) in a real-time system with multiple processing elements. We sho...
Shaobo Liu, Qinru Qiu, Qing Wu
121
Voted
WIDM
2009
ACM
15 years 10 months ago
Semantic relatedness hits bibliographic data
In this paper we introduce a novel approach for the thematic organization of bibliographic records that builds upon a semantic relatedness measure we have implemented for this tas...
George Tsatsaronis, Iraklis Varlamis, Sofia Stamou...