964 search results - page 19 / 193 » Incremental and Decremental Support Vector Machine Learning |
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
If appropriately used, prior knowledge can significantly improve the predictive accuracy of learning algorithms or reduce the amount of training data needed. In this paper we intr...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn ho...
NIPS
1996
14 years 11 months ago
1996
Support Vector Learning Machines (SVM) are nding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very genera...
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ISBRA
2011
Springer
14 years 1 months ago
2011
Springer
Abstract. Protein homology prediction is a crucial step in templatebased protein structure prediction. The functions that rank the proteins in a database according to their homolog...
NAACL
2004
14 years 11 months ago
2004
In this paper, we propose a machine learning algorithm for shallow semantic parsing, extending the work of Gildea and Jurafsky (2002), Surdeanu et al. (2003) and others. Our algor...