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NN
2000
Springer
167views Neural Networks» more  NN 2000»
13 years 7 months ago
Blind signal processing by the adaptive activation function neurons
The aim of this paper is to study an Information Theory based learning theory for neural units endowed with adaptive activation functions. The learning theory has the target to fo...
Simone Fiori
CCR
2006
101views more  CCR 2006»
13 years 7 months ago
Reflections on network architecture: an active networking perspective
After a long period when networking research seemed to be focused mainly on making the existing Internet work better, interest in "clean slate" approaches to network arc...
Kenneth L. Calvert
ESIAT
2009
IEEE
13 years 5 months ago
Analyzing and Designing of the Classroom Teaching System Based on the Network
The rapid development of the network technology greatly expands information communication between people and makes the network education become real. Network education has already ...
Delin Hou, Huosong Xia
CORR
2012
Springer
214views Education» more  CORR 2012»
12 years 3 months ago
Sum-Product Networks: A New Deep Architecture
The key limiting factor in graphical model inference and learning is the complexity of the partition function. We thus ask the question: what are the most general conditions under...
Hoifung Poon, Pedro Domingos
KI
2007
Springer
14 years 1 months ago
Location-Based Activity Recognition
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person’s activities and signiď¬...
Dieter Fox