55 search results - page 7 / 11 » Almost All Learning Machines are Singular |
JMLR
2008
13 years 9 months ago
2008
Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
NEUROSCIENCE
2001
Springer
14 years 2 months ago
2001
Springer
Abstract. Finite-state machines are the most pervasive models of computation, not only in theoretical computer science, but also in all of its applications to real-life problems, a...
IGARSS
2010
13 years 4 months ago
2010
This paper investigates the performance of machine learning methods for classifying rock types from hyperspectral data. The main objective is to test the impact on classification ...
BMCBI
2008
13 years 10 months ago
2008
Background: Protein domains present some of the most useful information that can be used to understand protein structure and functions. Recent research on protein domain boundary ...
COLT
2003
Springer
14 years 3 months ago
2003
Springer
We propose a new formulation of the clustering problem that differs from previous work in several aspects. First, the goal is to explicitly output a collection of simple and meani...