Incremental multiple objective genetic algorithms [PDF]
This paper presents a new genetic algorithm approach to multi-objective optimization problemsIncremental Multiple Objective Genetic Algorithms (IMOGA).
Chen, Q, Guan, SU
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Partial Agreements in Probabilistic Linkages
IntroductionRecord linkage units around the world use probabilistic linkage techniques for routine linkage of large datasets. It is widely known how probabilities are converted to agreement and disagreement weights for each field, yet there has been little exploration of the methodology to optimally convert field similarity scores into partial weights.&
Adrian Brown +3 more
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The Decay of Disease Association with Declining Linkage Disequilibrium: A Fine Mapping Theorem [PDF]
Several important and fundamental aspects of disease genetics models have yet to be described. One such property is the relationship of disease association statistics at a marker site closely linked to a disease causing site.
Bansal, Naveen K. +8 more
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Splink: Free software for probabilistic record linkage at scale.
Funded by ADR UK, a new data linking team at the Ministry of Justice set out to link administrative datasets across the justice space, for internal use and sharing with external researchers. To achieve this aim we sought a linkage implementation that was probabilistic, flexible, scalable and ideally open source. Taking into account the tools available
Robin Linacre +4 more
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Mortality after admission for acute myocardial infarction in Aboriginal and non-Aboriginal people in New South Wales, Australia: a multilevel data linkage study [PDF]
Background - Heart disease is a leading cause of the gap in burden of disease between Aboriginal and non-Aboriginal Australians. Our study investigated short- and long-term mortality after admission for Aboriginal and non-Aboriginal people admitted with ...
A Brown +38 more
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Cooperative co-evolution of GA-based classifiers based on input increments [PDF]
Genetic algorithms (GAs) have been widely used as soft computing techniques in various applications, while cooperative co-evolution algorithms were proposed in the literature to improve the performance of basic GAs.
Guan, SU, Zhu, F
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An incremental approach to genetic algorithms based classification [PDF]
Incremental learning has been widely addressed in the machine learning literature to cope with learning tasks where the learning environment is ever changing or training samples become available over time. However, most research work explores incremental
Guan, SU, Zhu, F
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Probabilistic Entity Linkage for Heterogeneous Information Spaces [PDF]
Heterogeneous information spaces are typically created by merging data from a variety of different applications and information sources. These sources often use different identifiers for data that describe the same real-word entity (for example an artist, a conference, an organization).
Ekaterini Ioannou +2 more
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Local Variation as a Statistical Hypothesis Test
The goal of image oversegmentation is to divide an image into several pieces, each of which should ideally be part of an object. One of the simplest and yet most effective oversegmentation algorithms is known as local variation (LV) (Felzenszwalb and ...
Baltaxe, Michael +2 more
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Quantification of over-speed risk in wind turbine fleets [PDF]
The effective life management of large and diverse fleets of wind turbines is a new problem facing power system utilities. More specifically, the minimization of over-speed risk is of high importance due to the related impacts of possible loss of life ...
Ault, Graham, Mcmillan, David
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