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GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
15 years 7 months ago
Towards memoryless model building
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
David Iclanzan, Dumitru Dumitrescu
BMCBI
2005
93views more  BMCBI 2005»
15 years 6 months ago
Computing expectation values for RNA motifs using discrete convolutions
Background: Computational biologists use Expectation values (E-values) to estimate the number of solutions that can be expected by chance during a database scan. Here we focus on ...
André Lambert, Matthieu Legendre, Jean-Fred...
JCNS
2000
84views more  JCNS 2000»
15 years 6 months ago
Nonlinear Thermodynamic Models of Voltage-Dependent Currents
Hodgkin and Huxley provided the first quantitative description of voltage-dependent currents and adjusted their model to experimental data using empirical functions of voltage. A p...
Alain Destexhe, John R. Huguenard
MICCAI
2010
Springer
15 years 4 months ago
Incremental Shape Statistics Learning for Prostate Tracking in TRUS
Abstract. Automatic delineation of the prostate boundary in transrectal ultrasound (TRUS) can play a key role in image-guided prostate intervention. However, it is a very challengi...
Pingkun Yan, Jochen Kruecker
APJOR
2010
118views more  APJOR 2010»
15 years 4 months ago
Alternative Randomization for Valuing American Options
This paper provides a fast and accurate randomization algorithm for valuing American puts and calls on dividend-paying stocks and their early exercise boundaries. The primal focus...
Toshikazu Kimura