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» Classifier Selection Based on Data Complexity Measures
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ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
14 years 10 months ago
Parallelizing Feature Selection
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...
ASIAN
2007
Springer
174views Algorithms» more  ASIAN 2007»
15 years 4 months ago
Combining Heterogeneous Classifiers for Network Intrusion Detection
Extensive use of computer networks and online electronic data and high demand for security has called for reliable intrusion detection systems. A repertoire of different classifier...
Ali Borji
ACL
2011
14 years 1 months ago
Effective Measures of Domain Similarity for Parsing
It is well known that parsing accuracy suffers when a model is applied to out-of-domain data. It is also known that the most beneficial data to parse a given domain is data that ...
Barbara Plank, Gertjan van Noord
PLDI
1995
ACM
15 years 1 months ago
Tile Size Selection Using Cache Organization and Data Layout
When dense matrix computations are too large to fit in cache, previous research proposes tiling to reduce or eliminate capacity misses. This paper presents a new algorithm for ch...
Stephanie Coleman, Kathryn S. McKinley
WWW
2007
ACM
15 years 10 months ago
Classifying web sites
In this paper, we present a novel method for the classification of Web sites. This method exploits both structure and content of Web sites in order to discern their functionality....
Christoph Lindemann, Lars Littig