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BMCBI
2005
155views more  BMCBI 2005»
13 years 7 months ago
Mining protein function from text using term-based support vector machines
Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
Simon B. Rice, Goran Nenadic, Benjamin J. Stapley
PKDD
2007
Springer
76views Data Mining» more  PKDD 2007»
14 years 1 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
COLING
2010
13 years 2 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»
12 years 10 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
ICDCS
2002
IEEE
14 years 10 days ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...