174 search results - page 6 / 35 » Advances in Instance Selection for Instance-Based Learning A... |
AIME
2009
Springer
15 years 1 months ago
2009
Springer
In this paper, we investigate the role of a biomedical dataset on the classification accuracy of an algorithm. We quantify the complexity of a biomedical dataset using five complex...
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AAAI
2007
14 years 11 months ago
2007
Multi-label learning deals with ambiguous examples each may belong to several concept classes simultaneously. In this learning framework, the inherent ambiguity of each example is...
IJCAI
2007
14 years 11 months ago
2007
An “active learning system” will sequentially decide which unlabeled instance to label, with the goal of efficiently gathering the information necessary to produce a good cla...
KSEM
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Support Vector Machines (SVM) have been applied successfully in a wide variety of fields in the last decade. The SVM problem is formulated as a convex objective function...
JMLR
2008
14 years 9 months ago
2008
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...