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» Numbers in Multi-relational Data Mining
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KDD
2002
ACM
108views Data Mining» more  KDD 2002»
16 years 5 months ago
Incremental Machine Learning to Reduce Biochemistry Lab Costs in the Search for Drug Discovery
This paper promotes the use of supervised machine learning in laboratory settings where chemists have a large number of samples to test for some property, and are interested in id...
George Forman
ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
15 years 11 months ago
Prediction of Skin Penetration Using Machine Learning Methods
Improving predictions of the skin permeability coefficient is a difficult problem. It is also an important issue with the increasing use of skin patches as a means of drug deliv...
Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams...
ICDM
2008
IEEE
127views Data Mining» more  ICDM 2008»
15 years 11 months ago
Word Sense Discovery for Web Information Retrieval
Word meaning disambiguation has always been an important problem in many computer science tasks, such as information retrieval and extraction. One of the problems, faced in automa...
Tomasz Nykiel, Henryk Rybinski
ICDM
2007
IEEE
126views Data Mining» more  ICDM 2007»
15 years 11 months ago
Exploration of Link Structure and Community-Based Node Roles in Network Analysis
Communities are nodes in a network that are grouped together based on a common set of properties. While the communities and link structures are often thought to be in alignment, i...
Jerry Scripps, Pang-Ning Tan, Abdol-Hossein Esfaha...
ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
15 years 11 months ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti