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» On Bayesian model and variable selection using MCMC
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MABS
1998
Springer
15 years 2 months ago
Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users' Guide
In many domains, agent-based system modeling competes with equation-based approaches that identify system variables and evaluate or integrate sets of equations relating these varia...
H. Van Dyke Parunak, Robert Savit, Rick L. Riolo
ICARCV
2008
IEEE
222views Robotics» more  ICARCV 2008»
15 years 4 months ago
Robust fusion using boosting and transduction for component-based face recognition
—Face recognition performance depends upon the input variability as encountered during biometric data capture including occlusion and disguise. The challenge met in this paper is...
Fayin Li, Harry Wechsler, Massimo Tistarelli
VLSID
2006
IEEE
129views VLSI» more  VLSID 2006»
15 years 10 months ago
A Stimulus-Free Probabilistic Model for Single-Event-Upset Sensitivity
With device size shrinking and fast rising frequency ranges, effect of cosmic radiations and alpha particles known as Single-Event-Upset (SEU), Single-Eventtransients (SET), is a ...
Mohammad Gh. Mohammad, Laila Terkawi, Muna Albasma...
ICMCS
2009
IEEE
159views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Acoustic modeling using an extended phone set considering cross-lingual pronunciation variations
To deal with the issue of data unbalanced condition among a task of multilingual speech recognition and a phenomenon of pronunciation variations across languages, we propose an ap...
Dau-Cheng Lyu, Ren-Yuan Lyu, Ming-Tat Ko
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
14 years 7 months ago
Genetic programming for quantitative stock selection
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
Ying L. Becker, Una-May O'Reilly