2898 search results - page 221 / 580 » Ensemble Methods in Machine Learning |
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
ML
2010
ACM
13 years 6 months ago
2010
ACM
Image annotation datasets are becoming larger and larger, with tens of millions of images and tens of thousands of possible annotations. We propose a strongly performing method tha...
IWCLS
2007
Springer
14 years 2 months ago
2007
Springer
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
ICML
1996
IEEE
14 years 9 months ago
1996
IEEE
In this paper, we describe two di erent learning tasks for relational structures. When learning a classi er for structures, the relational structures in the training sets are clas...
ECML
2006
Springer
13 years 12 months ago
2006
Springer
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...