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SAB
2010
Springer
117views Optimization» more  SAB 2010»
15 years 4 months ago
Indirectly Encoding Neural Plasticity as a Pattern of Local Rules
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...
Sebastian Risi, Kenneth O. Stanley
SIAMCO
2010
147views more  SIAMCO 2010»
15 years 4 months ago
Anytime Reliable Transmission of Real-Valued Information through Digital Noisy Channels
Abstract. The problem of reliably transmitting a real-valued random vector through a digital noisy channel is relevant for the design of distributed estimation and control techniqu...
Giacomo Como, Fabio Fagnani, Sandro Zampieri
SSPR
2010
Springer
15 years 4 months ago
Non-parametric Mixture Models for Clustering
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain
SYNTHESE
2010
115views more  SYNTHESE 2010»
15 years 4 months ago
The Classical Model of Science: a millennia-old model of scientific rationality
Throughout more than two millennia philosophers adhered massively to ideal standards of scientific rationality going back ultimately to Aristotle’s Analytica posteriora. These s...
Willem R. de Jong, Arianna Betti
TCOM
2010
106views more  TCOM 2010»
15 years 4 months ago
Achievable information rates for channels with insertions, deletions, and intersymbol interference with i.i.d. inputs
—We propose to use various trellis structures to characterize different types of insertion and deletion channels. We start with binary independent and identically distributed (i....
Jun Hu, Tolga M. Duman, M. Fatih Erden, Aleksandar...
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