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» Is an ordinal class structure useful in classifier learning
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BICOB
2010
Springer
13 years 5 months ago
Multiple Kernel Learning for Fold Recognition
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...
Huzefa Rangwala
IJCAI
2001
13 years 8 months ago
Active Learning for Class Probability Estimation and Ranking
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...
Maytal Saar-Tsechansky, Foster J. Provost
ICML
2005
IEEE
14 years 8 months ago
Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
BMCBI
2006
102views more  BMCBI 2006»
13 years 7 months ago
Prediction of protein structural class with Rough Sets
Background: A new method for the prediction of protein structural classes is constructed based on Rough Sets algorithm, which is a rule-based data mining method. Amino acid compos...
Youfang Cao, Shi Liu, Lida Zhang, Jie Qin, Jiang W...
ICDM
2009
IEEE
162views Data Mining» more  ICDM 2009»
13 years 5 months ago
Towards a Universal Text Classifier: Transfer Learning Using Encyclopedic Knowledge
Document classification is a key task for many text mining applications. However, traditional text classification requires labeled data to construct reliable and accurate classifie...
Pu Wang, Carlotta Domeniconi