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» Models and Methods in Comparative Genomics
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164
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WSC
1997
15 years 4 months ago
Comparison of Monte Carlo and Deterministic Methods for Non-Adaptive Optimization
In this paper we compare the average performance of Monte Carlo methods for global optimization with non-adaptive deterministic alternatives. We analyze the behavior of the algori...
Hisham A. Al-Mharmah, James M. Calvin
CAISE
2009
Springer
15 years 10 months ago
Enterprise Meta Modeling Methods - Combining a Stakeholder-Oriented and a Causality-Based Approach
Meta models are the core of enterprise architecture, but still few methods are available for the creation of meta models tailored for specific purposes. This paper presents two app...
Robert Lagerström, Jan Saat, Ulrik Franke, St...
131
Voted
ML
2002
ACM
128views Machine Learning» more  ML 2002»
15 years 3 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee
118
Voted
ESANN
2008
15 years 5 months ago
A Method for Time Series Prediction using a Combination of Linear Models
This paper presents a new approach for time series prediction using local dynamic modeling. The proposed method is composed of three blocks: a Time Delay Line that transforms the o...
David Martínez-Rego, Oscar Fontenla-Romero,...
94
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CSDA
2010
122views more  CSDA 2010»
15 years 3 months ago
A comparison of design and model selection methods for supersaturated experiments
Various design and model selection methods are available for supersaturated designs having more factors than runs but little research is available on their comparison and evaluati...
Christopher J. Marley, David C. Woods