ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
We examine the set covering machine when it uses data-dependent half-spaces for its set of features and bound its generalization error in terms of the number of training errors an...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
We present a learning framework for Markovian decision processes that is based on optimization in the policy space. Instead of using relatively slow gradient-based optimization al...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
The paper extends the notion of linear programming boosting to handle uneven datasets. Extensive experiments with text classification problem compare the performance of a number o...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
The problem of learning with positive and unlabeled examples arises frequently in retrieval applications. We transform the problem into a problem of learning with noise by labelin...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
In various application domains, including image recognition, it is natural to represent each example as a set of vectors. With a base kernel we can implicitly map these vectors to...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
In this paper, we address the problem of finding the pre-image of a feature vector in the feature space induced by a kernel. This is of central importance in some kernel applicatio...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE