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KDD
2012
ACM
207views Data Mining» more  KDD 2012»
13 years 8 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
STOC
2012
ACM
272views Algorithms» more  STOC 2012»
13 years 8 months ago
The cell probe complexity of dynamic range counting
In this paper we develop a new technique for proving lower bounds on the update time and query time of dynamic data structures in the cell probe model. With this technique, we pro...
Kasper Green Larsen
KDD
2008
ACM
119views Data Mining» more  KDD 2008»
16 years 6 months ago
SAIL: summation-based incremental learning for information-theoretic clustering
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
Junjie Wu, Hui Xiong, Jian Chen
SIGMOD
2003
ACM
124views Database» more  SIGMOD 2003»
16 years 6 months ago
Dynamic XML documents with distribution and replication
The advent of XML as a universal exchange format, and of Web services as a basis for distributed computing, has fostered the apparition of a new class of documents: dynamic XML do...
Serge Abiteboul, Angela Bonifati, Gregory Cobena, ...
174
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DASFAA
2004
IEEE
135views Database» more  DASFAA 2004»
15 years 10 months ago
Semi-supervised Text Classification Using Partitioned EM
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu