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CIKM
2009
Springer
15 years 6 months ago
Efficient feature weighting methods for ranking
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
Hwanjo Yu, Jinoh Oh, Wook-Shin Han
138
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CLEF
2009
Springer
15 years 17 days ago
ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification
In this paper, we describe an approach for the automatic medical image annotation task of the 2009 CLEF cross-language image retrieval campaign (ImageCLEF). This work is focused o...
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, ...
139
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CSDA
2008
128views more  CSDA 2008»
15 years 2 months ago
Classification tree analysis using TARGET
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
J. Brian Gray, Guangzhe Fan
HPCA
2002
IEEE
15 years 7 months ago
Non-Vital Loads
As the frequency gap between main memory and modern microprocessor grows, the implementation and efficiency of on-chip caches become more important. The growing latency to memory ...
Ryan Rakvic, Bryan Black, Deepak Limaye, John Paul...
138
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GECCO
2003
Springer
160views Optimization» more  GECCO 2003»
15 years 8 months ago
Using Genetic Algorithms for Data Mining Optimization in an Educational Web-Based System
This paper presents an approach for classifying students in order to predict their final grade based on features extracted from logged data in an education web-based system. A comb...
Behrouz Minaei-Bidgoli, William F. Punch