146 search results - page 12 / 30 » Learning with Neural Networks in the Domain of Graphs |
ESANN
2004
14 years 11 months ago
2004
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
144
click to vote
BSN
2011
IEEE
13 years 9 months ago
2011
IEEE
—Wireless neural recording systems are subject to stringent power consumption constraints to support long-term recordings and to allow for implantation inside the brain. In this ...
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
Linear Relational Embedding (LRE) was introduced (Paccanaro and Hinton, 1999) as a means of extracting a distributed representation of concepts from relational data. The original ...
ICPR
2002
IEEE
15 years 10 months ago
2002
IEEE
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...