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NN
2006
Springer
113views Neural Networks» more  NN 2006»
15 years 4 months ago
Large-scale data exploration with the hierarchically growing hyperbolic SOM
We introduce the Hierarchically Growing Hyperbolic Self-Organizing Map (H2 SOM) featuring two extensions of the HSOM (hyperbolic SOM): (i) a hierarchically growing variant that al...
Jörg Ontrup, Helge Ritter
NIPS
2008
15 years 5 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
JMLR
2010
192views more  JMLR 2010»
14 years 11 months ago
Efficient Learning of Deep Boltzmann Machines
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
Ruslan Salakhutdinov, Hugo Larochelle
APNOMS
2006
Springer
15 years 7 months ago
Delivery and Storage Architecture for Sensed Information Using SNMP
Many researches on context aware computing are carried out around the world. Among them, Context-Toolkit and Semantic Space provide separation of concerns between sensor and applic...
Deokjai Choi, Hongseok Jang, Kugsang Jeong, Punghy...
WSC
2000
15 years 5 months ago
Model abstraction for discrete event systems using neural networks and sensitivity information
STRACTION FOR DISCRETE EVENT SYSTEMS USING NEURAL NETWORKS AND SENSITIVITY INFORMATION Christos G. Panayiotou Christos G. Cassandras Department of Manufacturing Engineering Boston ...
Christos G. Panayiotou, Christos G. Cassandras, We...