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» Efficient Distribution Mining and Classification
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145
Voted
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
15 years 4 months ago
Semi-Supervised Learning Based on Semiparametric Regularization
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Chr...
224
Voted
VLDB
2005
ACM
146views Database» more  VLDB 2005»
16 years 3 months ago
Adaptive website recommendations with AWESOME
Recommendations are crucial for the success of large websites. While there are many ways to determine recommendations, the relative quality of these recommenders depends on many fa...
Andreas Thor, Nick Golovin, Erhard Rahm
130
Voted
CIKM
2010
Springer
15 years 1 months ago
Combining link and content for collective active learning
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
Lixin Shi, Yuhang Zhao, Jie Tang
141
Voted
ICDM
2005
IEEE
215views Data Mining» more  ICDM 2005»
15 years 9 months ago
CLUGO: A Clustering Algorithm for Automated Functional Annotations Based on Gene Ontology
We address the issue of providing highly informative and comprehensive annotations using information revealed by the structured vocabularies of Gene Ontology (GO). For a target, a...
In-Yee Lee, Jan-Ming Ho, Ming-Syan Chen
137
Voted
ICDM
2009
IEEE
188views Data Mining» more  ICDM 2009»
15 years 1 months ago
Binomial Matrix Factorization for Discrete Collaborative Filtering
Matrix factorization (MF) models have proved efficient and well scalable for collaborative filtering (CF) problems. Many researchers also present the probabilistic interpretation o...
Jinlong Wu