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» Constraint Programming for Data Mining and Machine Learning
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127
Voted
PKDD
2007
Springer
76views Data Mining» more  PKDD 2007»
15 years 8 months ago
Experiment Databases: Towards an Improved Experimental Methodology in Machine Learning
Machine learning research often has a large experimental component. While the experimental methodology employed in machine learning has improved much over the years, repeatability ...
Hendrik Blockeel, Joaquin Vanschoren
89
Voted
KDD
2006
ACM
118views Data Mining» more  KDD 2006»
16 years 2 months ago
Mining for proposal reviewers: lessons learned at the national science foundation
In this paper, we discuss a prototype application deployed at the U.S. National Science Foundation for assisting program directors in identifying reviewers for proposals. The appl...
Seth Hettich, Michael J. Pazzani
104
Voted
COLING
2010
14 years 8 months ago
An Empirical Study on Web Mining of Parallel Data
This paper1 presents an empirical approach to mining parallel corpora. Conventional approaches use a readily available collection of comparable, nonparallel corpora to extract par...
Gum-Won Hong, Chi-Ho Li, Ming Zhou, Hae-Chang Rim
PAKDD
2011
ACM
253views Data Mining» more  PAKDD 2011»
14 years 4 months ago
Balance Support Vector Machines Locally Using the Structural Similarity Kernel
A structural similarity kernel is presented in this paper for SVM learning, especially for learning with imbalanced datasets. Kernels in SVM are usually pairwise, comparing the sim...
Jianxin Wu
IWC
2002
121views more  IWC 2002»
15 years 1 months ago
Discovering user communities on the Internet using unsupervised machine learning techniques
Interest in the analysis of user behaviour on the Internet has been increasing rapidly, especially since the advent of electronic commerce. In this context, we argue here for the ...
Georgios Paliouras, Christos Papatheodorou, Vangel...