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» Is Combining Classifiers Better than Selecting the Best One
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105
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ISIWI
2000
14 years 10 months ago
Automatic Document Classification - A thorough Evaluation of various Methods
(Automatic) document classification is generally defined as content-based assignment of one or more predefined categories to documents. Usually, machine learning, statistical patt...
Christoph Goller, J. Löning, T. Will, W. Wolf...
78
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COMSWARE
2007
IEEE
15 years 3 months ago
A Peer-to-Peer Scheme to Discover and Select QoS Enhanced Alternate Paths
— Increasing number of communication softwares are built on distributed architectures based on the Peer-toPeer (P2P) model, such as Skype [1], and PeerCast [2]. This model provid...
Thierry Rakotoarivelo, Patrick Sénac, Aruna...
INFORMS
2007
123views more  INFORMS 2007»
14 years 9 months ago
Constructing Ensembles from Data Envelopment Analysis
It has been shown in prior work in management science, statistics and machine learning that using an ensemble of models often results in better performance than using a single ‘...
Zhiqiang Zheng, Balaji Padmanabhan
ICML
2007
IEEE
15 years 10 months ago
Minimum reference set based feature selection for small sample classifications
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
Xue-wen Chen, Jong Cheol Jeong
TRECVID
2008
14 years 11 months ago
Informedia @ TRECVID2008: Exploring New Frontiers
The Informedia team participated in the tasks of Rushes summarization, high-level feature extraction and event detection in surveillance video. For the rushes summarization, our b...
Alexander G. Hauptmann, Robert V. Baron, Ming-yu C...