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ML
2000
ACM
154views Machine Learning» more  ML 2000»
13 years 6 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb
ML
2000
ACM
185views Machine Learning» more  ML 2000»
13 years 6 months ago
A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...
Tjen-Sien Lim, Wei-Yin Loh, Yu-Shan Shih
ML
2000
ACM
124views Machine Learning» more  ML 2000»
13 years 6 months ago
Text Classification from Labeled and Unlabeled Documents using EM
This paper shows that the accuracy of learned text classifiers can be improved by augmenting a small number of labeled training documents with a large pool of unlabeled documents. ...
Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom...
ENTCS
2008
137views more  ENTCS 2008»
13 years 6 months ago
Computerizing Mathematical Text with MathLang
Mathematical texts can be computerized in many ways that capture differing amounts of the mathematical meaning. At one end, there is document imaging, which captures the arrangeme...
Fairouz Kamareddine, J. B. Wells
APCCM
2008
13 years 8 months ago
Survey of Existing Languages to Model Interactive Web Applications
Over the last few years, the web is establishing increased importance in society with the rise of social networking sites and the semantic web, facilitated and driven by the popul...
Jevon M. Wright, Jens Dietrich