357 search results - page 23 / 72 » New Insights into Learning Algorithms and Datasets |
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
ICMLA
2009
14 years 7 months ago
2009
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
SIGIR
2008
ACM
14 years 9 months ago
2008
ACM
This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we also present a large number of f...
IJCAI
2003
14 years 11 months ago
2003
This paper investigates a new approach for training discriminant classifiers when only a small set of labeled data is available together with a large set of unlabeled data. This a...
SBIA
2004
Springer
15 years 3 months ago
2004
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...