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» Classifying Problems into Complexity Classes
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ICTAI
2009
IEEE
15 years 7 months ago
Classifying Sentence-Based Summaries of Web Documents
Text classification categories Web documents in large collections into predefined classes based on their contents. Unfortunately, the classification process can be time-consumi...
Maria Soledad Pera, Yiu-Kai Ng
SIGMETRICS
2003
ACM
131views Hardware» more  SIGMETRICS 2003»
15 years 5 months ago
Classifying scheduling policies with respect to unfairness in an M/GI/1
It is common to evaluate scheduling policies based on their mean response times. Another important, but sometimes opposing, performance metric is a scheduling policy’s fairness....
Adam Wierman, Mor Harchol-Balter
ECML
2004
Springer
15 years 4 months ago
Naive Bayesian Classifiers for Ranking
It is well-known that naive Bayes performs surprisingly well in classification, but its probability estimation is poor. In many applications, however, a ranking based on class prob...
Harry Zhang, Jiang Su
209
Voted
GCB
2010
Springer
204views Biometrics» more  GCB 2010»
14 years 10 months ago
Learning Pathway-based Decision Rules to Classify Microarray Cancer Samples
: Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninfor...
Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasn...
JMLR
2002
135views more  JMLR 2002»
15 years 5 days ago
Covering Number Bounds of Certain Regularized Linear Function Classes
Recently, sample complexity bounds have been derived for problems involving linear functions such as neural networks and support vector machines. In many of these theoretical stud...
Tong Zhang