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NIPS
2004
13 years 10 months ago
2004
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
ECML
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. We study the problem of learning from positive and unlabeled examples. Although several techniques exist for dealing with this problem, they all assume that positive exam...
TKDE
2008
13 years 9 months ago
2008
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
BMCBI
2006
13 years 9 months ago
2006
Motivation Protein remote homology prediction and fold recognition are central problems in computational biology. Supervised learning algorithms based on support vector machines a...
JMLR
2002
13 years 9 months ago
2002
Recently, sample complexity bounds have been derived for problems involving linear functions such as neural networks and support vector machines. In many of these theoretical stud...