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GECCO
2009
Springer
121views Optimization» more  GECCO 2009»
15 years 4 months ago
Using memetic algorithms to improve portfolio performance in static and dynamic trading scenarios
The Portfolio Optimization problem consists of the selection of a group of assets to a long-term fund in order to minimize the risk and maximize the return of the investment. This...
Claus de Castro Aranha, Hitoshi Iba
ICML
2010
IEEE
15 years 28 days ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
BC
2004
98views more  BC 2004»
14 years 11 months ago
Dynamical simulation of speech cooperative articulation by muscle linkages
Different kinds of articulators, such as the upper and lower lips, jaw, and tongue, are precisely coordinated in speech production. Based on a perturbation study of the production ...
Takayuki Ito, Hiroaki Gomi, Masaaki Honda
HPDC
2008
IEEE
15 years 6 months ago
StoreGPU: exploiting graphics processing units to accelerate distributed storage systems
Today Graphics Processing Units (GPUs) are a largely underexploited resource on existing desktops and a possible costeffective enhancement to high-performance systems. To date, mo...
Samer Al-Kiswany, Abdullah Gharaibeh, Elizeu Santo...
CORR
2010
Springer
154views Education» more  CORR 2010»
14 years 12 months ago
Causal Markov condition for submodular information measures
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
Bastian Steudel, Dominik Janzing, Bernhard Sch&oum...