889 search results - page 100 / 178 » Observational Learning in Random Networks |
KDD
1998
ACM
14 years 1 months ago
1998
ACM
This paper develops the concept of usefulness in the context of supervised learning. We argue that usefulness can be used to improve the performance of classification rules (as me...
ICANN
2011
Springer
13 years 18 days ago
2011
Springer
Attribute importance measures for supervised learning are important for improving both learning accuracy and interpretability. However, it is well-known there could be bias when th...
UAI
2004
13 years 10 months ago
2004
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
DAGSTUHL
2003
13 years 10 months ago
2003
We embodied networks of cultured biological neurons in simulation and in robotics. This is a new research paradigm to study learning, memory, and information processing in real tim...
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
In order to structure a gene network, a score-based approach is often used. A score-based approach, however, is problematic because by assuming a probability distribution, one is ...