ICML
2002
IEEE
15 years 15 days ago
2002
IEEE
We empirically evaluate several state-of-theart methods for constructing ensembles of heterogeneous classifiers with stacking and show that they perform (at best) comparably to se...
ICML
2002
IEEE
15 years 15 days ago
2002
IEEE
In many reinforcement learning applications, the set of possible actions can be partitioned by the programmer into subsets of similar actions. This paper presents a technique for ...
ICML
2002
IEEE
15 years 15 days ago
2002
IEEE
The naive classifier is a well-established mathematical model whose simplicity, speed and accuracy have made it a popular choice for classification in AI and engineering. In this ...
ICML
2002
IEEE
15 years 15 days ago
2002
IEEE
Classification of email is an important everyday task for a large and growing number of users. This paper describes the machine learning approaches underlying the i-ems (Intellige...
ICML
2002
IEEE
15 years 15 days ago
2002
IEEE
We propose a new statistical approach to extracting personal names from a corpus. One of the key points of our approach is that it can both automatically learn the characteristics...
ICML
2002
IEEE
15 years 15 days ago
2002
IEEE
ICML
2002
IEEE
15 years 15 days ago
2002
IEEE
ICML
2003
IEEE
15 years 15 days ago
2003
IEEE
Convex programming involves a convex set F Rn and a convex cost function c : F R. The goal of convex programming is to find a point in F which minimizes c. In online convex prog...
ICML
2003
IEEE
15 years 15 days ago
2003
IEEE
ICML
2003
IEEE
15 years 15 days ago
2003
IEEE
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...