101 search results - page 11 / 21 » icml 2004 |
94
Voted
ICML
2004
IEEE
15 years 3 months ago
2004
IEEE
In this work we consider the task of relaxing the i.i.d assumption in online pattern recognition (or classification), aiming to make existing learning algorithms applicable to a ...
ICML
2004
IEEE
15 years 11 months ago
2004
IEEE
We propose to study links between three important classification algorithms: Perceptrons, Multi-Layer Perceptrons (MLPs) and Support Vector Machines (SVMs). We first study ways to...
ICML
2004
IEEE
15 years 11 months ago
2004
IEEE
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
101
Voted
ICML
2004
IEEE
15 years 3 months ago
2004
IEEE
This paper introduces RankOpt, a linear binary classifier which optimises the area under the ROC curve (the AUC). Unlike standard binary classifiers, RankOpt adopts the AUC stat...
95
Voted
ICML
2004
IEEE
15 years 3 months ago
2004
IEEE
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...