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ECAI
2006
Springer
13 years 8 months ago
Calibrating Probability Density Forecasts with Multi-Objective Search
Abstract. In this paper, we show that the optimization of density forecasting models for regression in machine learning can be formulated as a multi-objective problem. We describe ...
Michael Carney, Padraig Cunningham
ER
2010
Springer
121views Database» more  ER 2010»
13 years 4 months ago
Reasoning with Optional and Preferred Requirements
Abstract. Of particular concern in requirements engineering is the selection of requirements to implement in the next release of a system. To that end, there has been recent work o...
Neil A. Ernst, John Mylopoulos, Alexander Borgida,...
CEC
2010
IEEE
13 years 7 months ago
Multi-objective memetic evolution of ART-based classifiers
In this paper we present a novel framework for evolving ART-based classification models, which we refer to as MOME-ART. The new training framework aims to evolve populations of ART...
Rong Li, Timothy R. Mersch, Oriana X. Wen, Assem K...
CCE
2010
13 years 3 months ago
Combined mass and energy integration in process design at the example of membrane-based gas separation systems
This paper presents an approach for combined mass and energy integration in process synthesis and illustrates it at the thermochemical production of crude synthetic natural gas (S...
Martin Gassner, François Maréchal
GECCO
2007
Springer
198views Optimization» more  GECCO 2007»
14 years 11 days ago
On the design of optimisers for surface reconstruction
In many industrial applications the need for an efficient and high-quality reconstruction of free-form surfaces does exist. Surface Reconstruction – the generation of CAD models...
Tobias Wagner, Thomas Michelitsch, Alexei Sacharow