1077 search results - page 109 / 216 » Learning network structure from passive measurements |
ICPR
2000
IEEE
14 years 11 months ago
2000
IEEE
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
JSA
1998
13 years 9 months ago
1998
The composition of the example set has a major impact on the quality of neural learning. The popular approach is focused on extensive preprocessing to bridge the representation ga...
MICAI
2007
Springer
14 years 4 months ago
2007
Springer
Abstract. In this paper we utilize information theory to study the impact in learning performance of various motivation and environmental configurations. This study is done within...
JMLR
2010
13 years 5 months ago
2010
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
MOBICOM
2006
ACM
14 years 4 months ago
2006
ACM
Abstract-The emergence of small, inexpensive, networkcapable sensing devices led to a great deal of research on the design and implementation of sensor networks. A critical step in...