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PAKDD
2009
ACM
14 years 5 months ago
2009
ACM
Co-training, a paradigm of semi-supervised learning, may alleviate effectively the data scarcity problem (i.e., the lack of labeled examples) in supervised learning. The standard ...
PAKDD
2009
ACM
14 years 5 months ago
2009
ACM
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
PAKDD
2009
ACM
14 years 5 months ago
2009
ACM
One important problem proposed recently in the field of web mining is website classification problem. The complexity together with the necessity to have accurate and fast algorit...
PAKDD
2009
ACM
14 years 3 months ago
2009
ACM
Abstract. Over the last decade several prediction methods have been developed for determining structural and functional properties of individual protein residues using sequence and...
AUSAI
2009
Springer
14 years 2 months ago
2009
Springer
Ensembles are often capable of greater prediction accuracy than any of their individual members. As a consequence of the diversity between individual base-learners, an ensemble wil...