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Book
498views
16 years 7 months ago
Machine Learning, Neural and Statistical Classification
This book covers several topics such as Classification, Classical Statistical Methods, Modern Statistical Techniques, Machine Learning of Rules and Trees, Neural Networks Methods ...
Ellis Horwood
DCOSS
2006
Springer
15 years 1 months ago
Efficient and Robust Data Dissemination Using Limited Extra Network Knowledge
We propose a new data dissemination protocol for wireless sensor networks, that basically pulls some additional knowledge about the network in order to subsequently improve data fo...
Ioannis Chatzigiannakis, Athanasios Kinalis, Sotir...
APSEC
2004
IEEE
15 years 1 months ago
Top-Down Approach Toward Building Ubiquitous Sensor Network Applications
Tiny networked sensor devices will be disseminated over our physical life space, and take a significant role in realizing a ubiquitous computing environment. As sensor network tec...
Yoshihiro Kawahara, Nao Kawanishi, Hiroyuki Morika...
BMCBI
2010
176views more  BMCBI 2010»
14 years 9 months ago
Bayesian statistical modelling of human protein interaction network incorporating protein disorder information
Background: We present a statistical method of analysis of biological networks based on the exponential random graph model, namely p2-model, as opposed to previous descriptive app...
Svetlana Bulashevska, Alla Bulashevska, Roland Eil...
NN
2007
Springer
105views Neural Networks» more  NN 2007»
14 years 9 months ago
Guiding exploration by pre-existing knowledge without modifying reward
Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many app...
Kary Främling