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» Variable selection using neural-network models
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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
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
IKE
2008
14 years 11 months ago
Text-independent Speaker Identification Based on MAP Channel Compensation and Pitch-dependent Features
One major source of performance decline in speaker recognition system is channel mismatch between training and testing. This paper focuses on improving channel robustness of speake...
JiQing Han, RongChun Gao
IEAAIE
2001
Springer
15 years 2 months ago
A Knowledge Model for Automatic Configuration of Traffic Messages
: This paper describes a knowledge model for a configuration problem in the domain of traffic control. The goal of this model is to help traffic engineers in the dynamic selection ...
Martín Molina, Mónica Robledo
PPOPP
2009
ACM
15 years 10 months ago
Mapping parallelism to multi-cores: a machine learning based approach
The efficient mapping of program parallelism to multi-core processors is highly dependent on the underlying architecture. This paper proposes a portable and automatic compiler-bas...
Zheng Wang, Michael F. P. O'Boyle