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» Learning Belief Networks from Data: An Information Theory Ba...
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IJON
2007
88views more  IJON 2007»
13 years 8 months ago
Information maximization in face processing
This perspective paper explores principles of unsupervised learning and how they relate to face recognition. Dependency coding and information maximization appear to be central pr...
Marian Stewart Bartlett
CLEIEJ
2007
152views more  CLEIEJ 2007»
13 years 9 months ago
Gene Expression Analysis using Markov Chains extracted from RNNs
Abstract. This paper present a new approach for the analysis of gene expression, by extracting a Markov Chain from trained Recurrent Neural Networks (RNNs). A lot of microarray dat...
Igor Lorenzato Almeida, Denise Regina Pechmann Sim...
MSS
2010
IEEE
97views Hardware» more  MSS 2010»
13 years 7 months ago
Network formation under mutual consent and costly communication
We consider four different game-theoretic approaches to describe the formation of social networks under mutual consent and costly communication. First, we consider Jackson-Wolins...
Robert P. Gilles, Sudipta Sarangi
FBIT
2007
IEEE
14 years 3 months ago
Adaptive Data Dissemination in Sensor Networks Using WPDD
In Wireless Sensor Networks (WSNs), address-based routing approaches often lead to severe problems due to node mobility, energy-saving sleep-cycles, and often missing or unreliabl...
Falko Dressler, Reinhard German, Bettina Krüg...
ACMSE
2010
ACM
13 years 4 months ago
Learning to rank using 1-norm regularization and convex hull reduction
The ranking problem appears in many areas of study such as customer rating, social science, economics, and information retrieval. Ranking can be formulated as a classification pro...
Xiaofei Nan, Yixin Chen, Xin Dang, Dawn Wilkins