Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art
In recent years, there has been a growing research interest in integrating machine learning
techniques into meta-heuristics for solving combinatorial optimization problems. This …
techniques into meta-heuristics for solving combinatorial optimization problems. This …
A review of methods for capacity identification in Choquet integral based multi-attribute utility theory: Applications of the Kappalab R package
The application of multi-attribute utility theory whose aggregation process is based on the
Choquet integral requires the prior identification of a capacity. The main approaches to …
Choquet integral requires the prior identification of a capacity. The main approaches to …
[PDF][PDF] Information-theoretic inference of large transcriptional regulatory networks
PE Meyer, K Kontos, F Lafitte, G Bontempi - EURASIP journal on …, 2007 - Springer
The paper presents MRNET, an original method for inferring genetic networks from microarray
data. The method is based on maximum relevance/minimum redundancy (MRMR), an …
data. The method is based on maximum relevance/minimum redundancy (MRMR), an …
Identification of Functional Elements and Regulatory Circuits by Drosophila modENCODE
To gain insight into how genomic information is translated into cellular and developmental
programs, the Drosophila model organism Encyclopedia of DNA Elements (modENCODE) …
programs, the Drosophila model organism Encyclopedia of DNA Elements (modENCODE) …
minet: AR/Bioconductor Package for Inferring Large Transcriptional Networks Using Mutual Information
PE Meyer, F Lafitte, G Bontempi - BMC bioinformatics, 2008 - Springer
Results This paper presents the R/Bioconductor package minet (version 1.1.6) which
provides a set of functions to infer mutual information networks from a dataset. Once fed with a …
provides a set of functions to infer mutual information networks from a dataset. Once fed with a …
On selecting interestingness measures for association rules: User oriented description and multiple criteria decision aid
Data mining algorithms, especially those used for unsupervised learning, generate a large
quantity of rules. In particular this applies to the Apriori family of algorithms for the …
quantity of rules. In particular this applies to the Apriori family of algorithms for the …
[BOOK][B] Understanding measurement: reliability
P Meyer - 2010 - books.google.com
This is a title in our Understanding Statistics series, which is designed to provide researchers
with authoritative guides to understanding, presenting and critiquing analyses and …
with authoritative guides to understanding, presenting and critiquing analyses and …
Treatment of chronic Achilles tendinopathy and ruptures with flexor hallucis tendon transfer: clinical outcome and MRI findings
Background: In patients with chronic Achilles tendinopathy, augmentation with flexor hallucis
longus (FHL) tendon transfer can be performed to improve pain and functional limitations. …
longus (FHL) tendon transfer can be performed to improve pain and functional limitations. …
Information-theoretic feature selection in microarray data using variable complementarity
PE Meyer, C Schretter… - IEEE Journal of Selected …, 2008 - ieeexplore.ieee.org
The paper presents an original filter approach for effective feature selection in microarray
data characterized by a large number of input variables and a few samples. The approach is …
data characterized by a large number of input variables and a few samples. The approach is …
Multilevel multi-informant structure of the authoritative school climate survey.
The Authoritative School Climate Survey was designed to provide schools with a brief
assessment of 2 key characteristics of school climate—disciplinary structure and student support—…
assessment of 2 key characteristics of school climate—disciplinary structure and student support—…