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» The Learning Power of Evolution
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ICASSP
2011
IEEE
14 years 7 months ago
Improving kernel-energy trade-offs for machine learning in implantable and wearable biomedical applications
Emerging biomedical sensors and stimulators offer unprecedented modalities for delivering therapy and acquiring physiological signals (e.g., deep brain stimulators). Exploiting th...
Kyong-Ho Lee, Sun-Yuan Kung, Naveen Verma
141
Voted
IDEAL
2005
Springer
15 years 9 months ago
Kernel Biased Discriminant Analysis Using Histogram Intersection Kernel for Content-Based Image Retrieval
It is known that no single descriptor is powerful enough to encompass all aspects of image content, i.e. each feature extraction method has its own view of the image content. A pos...
Lin Mei, Gerd Brunner, Lokesh Setia, Hans Burkhard...
NCA
2008
IEEE
15 years 3 months ago
The application of ridge polynomial neural network to multi-step ahead financial time series prediction
Motivated by the slow learning properties of multilayer perceptrons (MLPs) which utilize computationally intensive training algorithms, such as the backpropagation learning algorit...
Rozaida Ghazali, Abir Jaafar Hussain, Panos Liatsi...
CEC
2009
IEEE
15 years 8 months ago
Conformity and network effects in the Prisoner's Dilemma
— We study the evolution of cooperation using the Prisoner’s Dilemma as a metaphor of the tensions between cooperators and non-cooperators, and evolutionary game theory as the ...
José María Peña, Enea Pestela...
GI
2009
Springer
15 years 8 months ago
Massively-Parallel Simulation of Biochemical Systems
: Understanding biological evolution prompts for a detailed understanding of the realized phenotype. Biochemical and gene regulatory dynamics are a cornerstone for the physiology o...
Jens Ackermann, Paul Baecher, Thorsten Franzel, Mi...