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EMNLP
2006
13 years 11 months ago
Graph-based Word Clustering using a Web Search Engine
Word clustering is important for automatic thesaurus construction, text classification, and word sense disambiguation. Recently, several studies have reported using the web as a c...
Yutaka Matsuo, Takeshi Sakaki, Koki Uchiyama, Mits...
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 10 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
CSB
2005
IEEE
110views Bioinformatics» more  CSB 2005»
14 years 3 months ago
A Topological Measurement for Weighted Protein Interaction Network
High-throughput methods for detecting protein-protein interactions (PPI) have given researchers an initial global picture of protein interactions on a genomic scale. The usefulnes...
Pengjun Pei, Aidong Zhang
CORR
2010
Springer
154views Education» more  CORR 2010»
13 years 9 months ago
Causal Markov condition for submodular information measures
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
Bastian Steudel, Dominik Janzing, Bernhard Sch&oum...
AVI
2006
13 years 11 months ago
Line graph explorer: scalable display of line graphs using Focus+Context
Scientific measurements are often depicted as line graphs. Stateof-the-art high throughput systems in life sciences, telemetry and electronics measurement rapidly generate hundred...
Robert Kincaid, Heidi Lam