ICML
2001
IEEE
14 years 6 months 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
14 years 6 months 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
14 years 6 months ago
2001
IEEE
ICML
2001
IEEE
14 years 6 months 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
14 years 6 months ago
ICML
2001
IEEE
14 years 6 months 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
14 years 6 months ago
2001
IEEE
ICML
2001
IEEE
14 years 6 months 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...