Sciweavers

4079 search results - page 312 / 816
» Neural Networks
Sort
View
NIPS
2008
15 years 8 months ago
Deep Learning with Kernel Regularization for Visual Recognition
In this paper we aim to train deep neural networks for rapid visual recognition. The task is highly challenging, largely due to the lack of a meaningful regularizer on the functio...
Kai Yu, Wei Xu, Yihong Gong
ICONIP
2004
15 years 8 months ago
Generalization in Learning Multiple Temporal Patterns Using RNNPB
Abstract. This paper examines the generalization capability in learning multiple temporal patterns by the recurrent neural network with parametric bias (RNNPB). Our simulation expe...
Masato Ito, Jun Tani
PAA
2000
15 years 6 months ago
On the Initialisation of Sammon's Nonlinear Mapping
: The initialisation of a neural network implementation of Sammon's mapping, either randomly or based on the principal components (PCs) of the sample covariance matrix, is exp...
Boaz Lerner, Hugo Guterman, Mayer Aladjem, Its'hak...
IJCNN
2006
IEEE
16 years 19 days ago
A Columnar Competitive Model with Simulated Annealing for Solving Combinatorial Optimization Problems
— One of the major drawbacks of the Hopfield network is that when it is applied to certain polytopes of combinatorial problems, such as the traveling salesman problem (TSP), the...
Eu Jin Teoh, Huajin Tang, Kay Chen Tan
AMC
2008
99views more  AMC 2008»
15 years 6 months ago
Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution
In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
Roderick V. N. Melnik