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» Strong Separation of Learning Classes
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PAKDD
2010
ACM
151views Data Mining» more  PAKDD 2010»
14 years 5 days ago
Ensemble Learning Based on Multi-Task Class Labels
Abstract. It is well known that diversity among component classifiers is crucial for constructing a strong ensemble. Most existing ensemble methods achieve this goal through resam...
Qing Wang, Liang Zhang
ALT
2007
Springer
14 years 4 months ago
Prescribed Learning of R.E. Classes
Abstract. This work extends studies of Angluin, Lange and Zeugmann on the dependence of learning on the hypotheses space chosen for the class. In subsequent investigations, uniform...
Sanjay Jain, Frank Stephan, Nan Ye
ICPR
2006
IEEE
14 years 8 months ago
Learning Policies for Efficiently Identifying Objects of Many Classes
Viola and Jones (VJ) cascade classification methods have proven to be very successful in detecting objects belonging to a single class -- e.g., faces. This paper addresses the mor...
Ahmed M. Elgammal, Ramana Isukapalli, Russell Grei...
PRIB
2009
Springer
209views Bioinformatics» more  PRIB 2009»
14 years 1 months ago
Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm
For many biomedical modelling tasks a number of different types of data may influence predictions made by the model. An established approach to pursuing supervised learning with ...
Yiming Ying, Colin Campbell, Theodoros Damoulas, M...
CORR
2010
Springer
80views Education» more  CORR 2010»
13 years 7 months ago
Separations of Matroid Freeness Properties
Properties of Boolean functions on the hypercube that are invariant with respect to linear transformations of the domain are among some of the most well-studied properties in the ...
Arnab Bhattacharyya, Elena Grigorescu, Jakob Nords...