ICML
2001
IEEE
15 years 15 days ago
2001
IEEE
ICML
2001
IEEE
15 years 15 days ago
2001
IEEE
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
ICML
2001
IEEE
15 years 15 days ago
2001
IEEE
In this paper, we discuss a technique for handling multi-class problems with binary classifiers, namely to learn one classifier for each pair of classes. Although this idea is kno...
ICML
2001
IEEE
15 years 15 days ago
2001
IEEE
ICML
2001
IEEE
15 years 15 days ago
2001
IEEE
In this paper, we propose a unified non-quadratic loss function for regression known as soft insensitive loss function (SILF). SILF is a flexible model and possesses most of the d...
ICML
2001
IEEE
2001
IEEE
A Generalized Kalman Filter for Fixed Point Approximation and Efficient Temporal Difference Learning
15 years 15 days ago
ICML
2001
IEEE
15 years 15 days ago
2001
IEEE
As multiagent environments become more prevalent we need to understand how this changes the agent-based paradigm. One aspect that is heavily affected by the presence of multiple a...
ICML
2001
IEEE
15 years 15 days ago
2001
IEEE
ICML
2001
IEEE
15 years 15 days ago
2001
IEEE
In this paper, we examine the advantages and disadvantages of filter and wrapper methods for feature selection and propose a new hybrid algorithm that uses boosting and incorporat...
ICML
2002
IEEE
15 years 15 days ago
2002
IEEE
This paper addresses cost-sensitive classification in the setting where there are costs for measuring each attribute as well as costs for misclassification errors. We show how to ...