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» Mining Several Data Bases with an Ensemble of Classifiers
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ICML
2004
IEEE
14 years 8 months ago
Semi-supervised learning using randomized mincuts
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
Avrim Blum, John D. Lafferty, Mugizi Robert Rweban...
KDD
2003
ACM
269views Data Mining» more  KDD 2003»
14 years 8 months ago
Maximizing the spread of influence through a social network
Models for the processes by which ideas and influence propagate through a social network have been studied in a number of domains, including the diffusion of medical and technolog...
David Kempe, Jon M. Kleinberg, Éva Tardos
SDM
2008
SIAM
161views Data Mining» more  SDM 2008»
13 years 9 months ago
Efficient Maximum Margin Clustering via Cutting Plane Algorithm
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
Bin Zhao, Fei Wang, Changshui Zhang
WWW
2008
ACM
14 years 8 months ago
Analysis of geographic queries in a search engine log
Geography is becoming increasingly important in web search. Search engines can often return better results to users by analyzing features such as user location or geographic terms...
Qingqing Gan, Josh Attenberg, Alexander Markowetz,...
BMCBI
2004
229views more  BMCBI 2004»
13 years 7 months ago
Automatic annotation of protein motif function with Gene Ontology terms
Background: Conserved protein sequence motifs are short stretches of amino acid sequence patterns that potentially encode the function of proteins. Several sequence pattern search...
Xinghua Lu, Chengxiang Zhai, Vanathi Gopalakrishna...