503 search results - page 30 / 101 » Learning Semantic Concepts from Visual Data Using Neural Net... |
142
click to vote
SIGKDD
2000
15 years 3 months ago
2000
This article points out some very serious misconceptions about the brain in connectionism and artificial neural networks. Some of the connectionist ideas have been shown to have l...
149
click to vote
MICAI
2010
Springer
2010
Springer
Combining Neural Networks Based on Dempster-Shafer Theory for Classifying Data with Imperfect Labels
15 years 2 months ago
This paper addresses the supervised learning in which the class membership of training data are subject to uncertainty. This problem is tackled in the framework of the Dempster-Sha...
130
click to vote
VLDB
1995
ACM
15 years 7 months ago
1995
ACM
Classification, which involves finding rules that partition a given da.ta set into disjoint groups, is one class of data mining problems. Approaches proposed so far for mining cla...
138
click to vote
IJCNN
2006
IEEE
15 years 10 months ago
2006
IEEE
— In-place learning is a biologically inspired concept, meaning that the computational network is responsible for its own learning. With in-place learning, there is no need for a...
150
click to vote
MMS
2008
15 years 4 months ago
2008
We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...