120 search results - page 22 / 24 » Nonmonotonic Inferences in Neural Networks |
86
Voted
ICCS
1994
Springer
15 years 2 months ago
1994
Springer
This paper gives a data structure (UDS) for supporting database retrieval, inference and machine learning that attempts to unify and extend previous work in relational databases, ...
105
Voted
ICCV
2007
IEEE
16 years 6 days ago
2007
IEEE
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
112
Voted
IJCAI
1997
14 years 11 months ago
1997
We study the problemof statisticallycorrect inference in networks whose basic representations are population codes. Population codes are ubiquitous in the brain, and involve the s...
119
Voted
MM
2004
ACM
15 years 3 months ago
2004
ACM
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
NIPS
1997
14 years 11 months ago
1997
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...