1662 search results - page 142 / 333 » Generation of Attributes for Learning Algorithms |
WWW
2004
ACM
14 years 10 months ago
2004
ACM
In the problem of learning with positive and unlabeled examples, existing research all assumes that positive examples P and the hidden positive examples in the unlabeled set U are...
ICALT
2005
IEEE
14 years 2 months ago
2005
IEEE
Meta-learning is an efficient approach in the field of machine learning, which involves multiple classifiers. In this paper, a meta-learning framework consisting of stacking meta-...
ESANN
2006
13 years 10 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
ECML
2007
Springer
14 years 3 months ago
2007
Springer
In this paper, we propose a new and general preprocessor algorithm, called CSRoulette, which converts any cost-insensitive classification algorithms into cost-sensitive ones. CSRou...
ADMA
2006
Springer
14 years 1 months ago
2006
Springer
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...