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CSB
2004
IEEE
141views Bioinformatics» more  CSB 2004»
15 years 1 months ago
MinPD: Distance-Based Phylogenetic Analysis and Recombination Detection of Serially-Sampled HIV Quasispecies
A new computational method to study within-host viral evolution is explored to better understand the evolution and pathogenesis of viruses. Traditional phylogenetic tree methods a...
Patricia Buendia, Giri Narasimhan
86
Voted
ISCC
2006
IEEE
112views Communications» more  ISCC 2006»
15 years 3 months ago
The Precision and Energetic Cost of Snapshot Estimates in Wireless Sensor Networks
— Even for a specific application, the design space of wireless sensor networks is enormous, and traditional disciplinary boundaries are disappearing in the search for efficien...
Paul G. Flikkema
JSA
1998
74views more  JSA 1998»
14 years 9 months ago
Windowed active sampling for reliable neural learning
The composition of the example set has a major impact on the quality of neural learning. The popular approach is focused on extensive preprocessing to bridge the representation ga...
Emilia I. Barakova, Lambert Spaanenburg
CDC
2008
IEEE
163views Control Systems» more  CDC 2008»
15 years 4 months ago
A cooperative deployment strategy for optimal sampling in spatiotemporal estimation
— This paper considers a network composed of robotic agents and static nodes performing spatial estimation of a dynamic physical processes. The physical process is modeled as a s...
Rishi Graham, Jorge Cortés
ICANN
2010
Springer
14 years 10 months ago
Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
Asja Fischer, Christian Igel