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DAGM
2004
Springer
15 years 3 months ago
Learning from Labeled and Unlabeled Data Using Random Walks
We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to...
Dengyong Zhou, Bernhard Schölkopf
SIGKDD
2008
149views more  SIGKDD 2008»
14 years 10 months ago
Knowledge discovery from sensor data (SensorKDD)
Wide-area sensor infrastructures, remote sensors, RFIDs, and wireless sensor networks yield massive volumes of disparate, dynamic, and geographically distributed data. As such sen...
Ranga Raju Vatsavai, Olufemi A. Omitaomu, Joao Gam...
RECOMB
2002
Springer
15 years 10 months ago
Inferring Piecewise Ancestral History from Haploid Sequences
There has been considerable recent interest in the use of haplotype structure to aid in the design and analysis of case-control association studies searching for genetic predictors...
Russell Schwartz, Andrew G. Clark, Sorin Istrail
ICASSP
2008
IEEE
15 years 4 months ago
An iterative unsupervised learning method for information distillation
Information distillation techniques are used to analyze and interpret large volumes of speech and text archives in multiple languages and produce structured information of interes...
Kamand Kamangar, Dilek Hakkani-Tür, Gökh...
EWSA
2004
Springer
15 years 3 months ago
Distilling Scenarios from Patterns for Software Architecture Evaluation - A Position Paper
Software architecture (SA) evaluation is a quality assurance technique that is increasingly attracting significant research and commercial interests. A number of SA evaluation meth...
Liming Zhu, Muhammad Ali Babar, D. Ross Jeffery