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IJON
2011
90views more  IJON 2011»
14 years 7 months ago
Fault tolerant machine learning for nanoscale cognitive radio
We introduce a machine learning based classifier that identifies free radio channels for cognitive radio. The architecture is designed for nanoscale implementation, under nanosc...
Joni Pajarinen, Jaakko Peltonen, Mikko A. Uusitalo
ASM
2005
ASM
15 years 9 months ago
Time in State Machines
State machines are considered a very general means of expressing computations in an implementation-independent way. There are also ways to extend the general state machine framewor...
Susanne Graf, Andreas Prinz
148
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SCFBM
2008
151views more  SCFBM 2008»
15 years 3 months ago
Wndchrm - an open source utility for biological image analysis
Background: Biological imaging is an emerging field, covering a wide range of applications in biological and clinical research. However, while machinery for automated experimentin...
Lior Shamir, Nikita Orlov, D. Mark Eckley, Tomasz ...
IDA
2009
Springer
15 years 1 months ago
Estimating Hidden Influences in Metabolic and Gene Regulatory Networks
We address the applicability of blind source separation (BSS) methods for the estimation of hidden influences in biological dynamic systems such as metabolic or gene regulatory net...
Florian Blöchl, Fabian J. Theis
SLP
1989
105views more  SLP 1989»
15 years 5 months ago
Automatic Ordering of Subgoals - A Machine Learning Approach
This paper describes a learning system, LASSY1, which explores domains represented by Prolog databases, and use its acquired knowledge to increase the efficiency of a Prolog inter...
Shaul Markovitch, Paul D. Scott