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» Using PageRank in Feature Selection
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TRECVID
2008
13 years 11 months ago
PicSOM Experiments in TRECVID 2008
Our experiments in TRECVID 2008 include participation in the high-level feature extraction, automatic search, video summarization, and video copy detection tasks, using a common s...
Markus Koskela, Mats Sjöberg, Ville Viitaniem...
PR
2008
93views more  PR 2008»
13 years 10 months ago
Genetic algorithm-based feature set partitioning for classification problems
Feature set partitioning generalizes the task of feature selection by partitioning the feature set into subsets of features that are collectively useful, rather than by finding a ...
Lior Rokach
IDA
2002
Springer
13 years 10 months ago
Evolutionary model selection in unsupervised learning
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
YongSeog Kim, W. Nick Street, Filippo Menczer
CANDC
2005
ACM
13 years 10 months ago
Gene selection from microarray data for cancer classification - a machine learning approach
A DNA microarray can track the expression levels of thousands of genes simultaneously. Previous research has demonstrated that this technology can be useful in the classification ...
Yu Wang 0008, Igor V. Tetko, Mark A. Hall, Eibe Fr...
ACL
1998
13 years 11 months ago
Keyword Extraction using Term-Domain Interdependence for Dictation of Radio News
In this paper, we propose keyword extraction method for dictation of radio news which consists of several domains. In our method, newspaper articles which are automatically classi...
Yoshimi Suzuki, Fumiyo Fukumoto, Yoshihiro Sekiguc...