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» Wavelet Neural Networks with a Hybrid Learning Approach
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Book
778views
15 years 9 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
BMCBI
2007
153views more  BMCBI 2007»
13 years 11 months ago
A new pairwise kernel for biological network inference with support vector machines
Background: Much recent work in bioinformatics has focused on the inference of various types of biological networks, representing gene regulation, metabolic processes, protein-pro...
Jean-Philippe Vert, Jian Qiu, William Stafford Nob...
PRL
2007
287views more  PRL 2007»
13 years 10 months ago
2D and 3D face recognition: A survey
Government agencies are investing a considerable amount of resources into improving security systems as result of recent terrorist events that dangerously exposed flaws and weakn...
Andrea F. Abate, Michele Nappi, Daniel Riccio, Gab...
NPL
2000
105views more  NPL 2000»
13 years 10 months ago
Online Interactive Neuro-evolution
In standard neuro-evolution, a population of networks is evolved in a task, and the network that best solves the task is found. This network is then fixed and used to solve future...
Adrian K. Agogino, Kenneth O. Stanley, Risto Miikk...
ADHOCNETS
2009
Springer
14 years 5 months ago
Building Intrusion Detection with a Wireless Sensor Network
Abstract. This paper addresses the detection and reporting of abnormal building access with a wireless sensor network. A common office room, offering space for two working persons...
Markus Wälchli, Torsten Braun