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» Objective improvement in information-geometric optimization
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ECAI
2006
Springer
14 years 11 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
EVOW
2010
Springer
15 years 4 months ago
Multi-Objective Probability Collectives
We describe and evaluate a multi-objective optimisation (MOO) algorithm that works within the Probability Collectives (PC) optimisation framework. PC is an alternative approach to ...
Antony Waldock, David Corne
NI
2011
168views more  NI 2011»
14 years 14 days ago
Automated Reconstruction of Dendritic and Axonal Trees by Global Optimization with Geometric Priors
We present a novel probabilistic approach to fully automated delineation of tree structures in noisy 2D images and 3D image stacks. Unlike earlier methods that rely mostly on local...
Engin Türetken, Germán González...
CEC
2011
IEEE
13 years 9 months ago
Effective ranking + speciation = Many-objective optimization
—Multiobjective optimization problems have been widely addressed using evolutionary computation techniques. However, when dealing with more than three conflicting objectives (th...
Mario Garza-Fabre, Gregorio Toscano Pulido, Carlos...
BTW
2009
Springer
118views Database» more  BTW 2009»
15 years 29 days ago
Multi-Objective Scheduling for Real-Time Data Warehouses
: The issue of write-read contention is one of the most prevalent problems when deploying real-time data warehouses. With increasing load, updates are increasingly delayed and prev...
Maik Thiele, Andreas Bader, Wolfgang Lehner