2295 search results - page 292 / 459 » Learning Overcomplete Representations |
90
Voted
IWCLS
2007
Springer
15 years 8 months ago
2007
Springer
In this paper we explicitly identify the probabilistic model underlying LCS by linking it to a generalisation of the common Mixture-of-Experts model. Having an explicit representa...
128
Voted
RSEISP
2007
Springer
15 years 8 months ago
2007
Springer
This paper concerns the development of a new direction in machine learning, called natural induction, which requires from computergenerated knowledge not only to have high predicti...
135
Voted
ICMCS
2006
IEEE
15 years 8 months ago
2006
IEEE
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. These semantic concepts do not exist in isolatio...
140
Voted
ITRE
2006
IEEE
15 years 8 months ago
2006
IEEE
Knowledge models are structured representations of knowledge using symbols to represent pieces of knowledge and relationships between them, while a knowledge building community inv...
101
Voted
CIMCA
2005
IEEE
15 years 8 months ago
2005
IEEE
Hybrid set of optimally trained feed-forward, Hopfield and Elman neural networks were used as computational tools and were applied to immunoinformatics. These neural networks ena...