16 search results - page 1 / 4 » Justification-Based Selection of Training Examples for Case ... |
ECML
2004
Springer
13 years 8 months ago
2004
Springer
Maintaining compact and competent case bases has become a main topic of Case Based Reasoning (CBR) research. The main goal is to obtain a compact case base (with a reduced number o...
IJCNN
2000
IEEE
13 years 8 months ago
2000
IEEE
Many machine learning algorithms can be formulated as the minimization of a training criterion which involves (1) \training errors" on each training example and (2) some hype...
Publication
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
ICCAD
2001
IEEE
14 years 1 months ago
2001
IEEE
—In this paper, we present an approach to nonlinear model reduction based on representing a nonlinear system with a piecewise-linear system and then reducing each of the pieces w...
KDD
2002
ACM
14 years 4 months ago
2002
ACM
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...