288 search results - page 40 / 58 » Improving Bayesian Network parameter learning using constrai... |
PERVASIVE
2009
Springer
15 years 8 months ago
2009
Springer
This paper presents novel methodologies for the analysis of continuous cellular tower data from 215 randomly sampled subjects in a major urban city. We demonstrate the potential of...
126
click to vote
WINET
2010
14 years 11 months ago
2010
Abstract In this work we study the combination of multicost routing and adjustable transmission power in wireless ad hoc networks, so as to obtain dynamic energy- and interference-...
138
click to vote
JAIR
2002
15 years 28 days ago
2002
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
100
click to vote
ICANN
2009
Springer
15 years 5 months ago
2009
Springer
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
153
click to vote
ICANN
2010
Springer
14 years 10 months ago
2010
Springer
The aim of this paper is to study the use of Evolutionary Multiobjective Techniques to improve the performance of Neural Networks (NN). In particular, we will focus on classificati...