323 search results - page 32 / 65 » New Algorithms for Learning in Presence of Errors |
JMLR
2008
13 years 8 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...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
We propose a novel approach that reduces cost-sensitive classification to one-sided regression. The approach stores the cost information in the regression labels and encodes the m...
IDA
2009
Springer
13 years 6 months ago
2009
Springer
Abstract. We propose a new algorithm for learning isotonic classification trees. It relabels non-monotone leaf nodes by performing the isotonic regression on the collection of leaf...
ECCV
2000
Springer
14 years 10 months ago
2000
Springer
Abstract. The ability to learn from user interaction is an important asset for content-based image retrieval (CBIR) systems. Over short times scales, it enables the integration of ...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...