1701 search results - page 259 / 341 » Learning Mappings with Neural Network |
158
click to vote
ICALT
2006
IEEE
15 years 10 months ago
2006
IEEE
Generally speaking, in the e-learning systems, a course is modeled as a graph, where each node represents a knowledge node (KU) and two nodes are connected to form a semantic netw...
174
Voted
ESANN
2007
15 years 6 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
151
click to vote
IPOM
2009
Springer
15 years 11 months ago
2009
Springer
Due to the various masquerading strategies adopted by newer P2P applications to avoid detection and filtering, well-known port mapping techniques cannot guarantee their accuracy an...
154
Voted
ICRA
2005
IEEE
15 years 10 months ago
2005
IEEE
— We consider the problem of inferring sensor positions and a topological (i.e. qualitative) map of an environment given a set of cameras with non-overlapping fields of view. In...
112
click to vote
DIS
1999
Springer
15 years 9 months ago
1999
Springer
: This paper shows that a connectionist law discovery method called RF5X can discover a law in the form of a set of nominally conditioned polynomials, from data containing both nom...