Sciweavers

4947 search results - page 297 / 990
» Learning Module Networks
Sort
View
CCR
2008
66views more  CCR 2008»
15 years 4 months ago
New directions in mobile communications, or how to learn to stop hating the cellular telephone industry
In this article, we discuss the lessons in innovation from the last twenty years of the Internet that might be applied in the cellular telephone industry. Categories and Subject D...
Jon Crowcroft
100
Voted
IJON
2008
118views more  IJON 2008»
15 years 3 months ago
Incremental extreme learning machine with fully complex hidden nodes
Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden nodes, IEEE Trans. Neural Networks 17(4) (2006) 879
Guang-Bin Huang, Ming-Bin Li, Lei Chen, Chee Kheon...
IJCNN
2008
IEEE
15 years 10 months ago
Learning associations of conjuncted fuzzy sets for data prediction
— Fuzzy Associative Conjuncted Maps (FASCOM) is a fuzzy neural network that represents information by conjuncting fuzzy sets and associates them through a combination of unsuperv...
Hanlin Goh, Joo-Hwee Lim, Chai Quek
ICMLA
2009
15 years 1 months ago
Alive on Back-feed Culprit Identification via Machine Learning
We describe an application of machine learning techniques toward the problem of predicting which network protector switch is the cause of an Alive on Back-Feed (ABF) event in the ...
Bert C. Huang, Ansaf Salleb-Aouissi, Philip Gross
136
Voted
ECCV
2002
Springer
16 years 5 months ago
Dynamic Trees: Learning to Model Outdoor Scenes
Abstract. This paper considers the dynamic tree (DT) model, first introduced in [1]. A dynamic tree specifies a prior over structures of trees, each of which is a forest of one or ...
Nicholas J. Adams, Christopher K. I. Williams