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» Feature selection with neural networks
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DCOSS
2011
Springer
12 years 8 months ago
On sensor selection in linked information networks
—Sensor networks are often redundant by design; this is often done in order to achieve reliability in information processing. In many cases, the redundancy relationships between ...
Charu C. Aggarwal, Amotz Bar-Noy, Simon Shamoun
ICDCS
2008
IEEE
14 years 3 months ago
Measurement Manipulation and Space Selection in Network Coordinates
Internet coordinate systems have emerged as an efficient method to estimate the latency between pairs of nodes without any communication between them. However, most coordinate sy...
Cristian Lumezanu, Neil Spring
FUZZIEEE
2007
IEEE
14 years 3 months ago
Survey of Rough and Fuzzy Hybridization
— This paper provides a broad overview of logical and black box approaches to fuzzy and rough hybridization. The logical approaches include theoretical, supervised learning, feat...
Pawan Lingras, Richard Jensen
ICML
2008
IEEE
14 years 9 months ago
Classification using discriminative restricted Boltzmann machines
Recently, many applications for Restricted Boltzmann Machines (RBMs) have been developed for a large variety of learning problems. However, RBMs are usually used as feature extrac...
Hugo Larochelle, Yoshua Bengio
IJCNN
2008
IEEE
14 years 3 months ago
Fuzzy Adaptive Resonance Theory Combining Overlapped Category in consideration of connections
Abstract— Adaptive Resonance Theory (ART) is an unsupervised neural network. Fuzzy ART (FART) is a variation of ART, allows both binary and continuous input patterns. However, Fu...
Haruka Isawa, Haruna Matsushita, Yoshifumi Nishio