The many machine learning and data mining techniques produced over the last decades can prove invaluable assets in diverse fields, but choosing the most appropriate for a given application may be very difficult for a non-expert. Our objective is thus to provide modelling assistance using a meta-learning approach based on an evolutionary metaheuristic. We present the intended workflow of such modelling assistant and the expected challenges along our line of work
This paper describes the use of meta-learning in the area of data mining. It describes the problems ...
Today and always, human progress has been linked, among other aspects, to the capacity of facing pro...
Evolutionary Algorithms are population-based, stochastic search techniques, widely used as efficient...
International audienceThe many machine learning and data mining techniques produced over the last de...
International audienceMachine learning has proven to be a powerful tool in diverse fields, and is ge...
International audienceDuring the past few years, research in applying machine learning (ML) to desig...
The fields of machine meta-learning and hyper-heuristic optimisation have developed mostly independe...
The majority of the algorithms used to solve hard optimization problems today are population metaheu...
In the last years, organizations and companies in general have found the true potential value of col...
In: Encyclopedia of Systems Biology, W. Dubitzky, O. Wolkenhauer, K-H Cho, H. Yokota (Eds.), Springe...
Metaheuristic search algorithms look for solutions that either max-imise or minimise a set of object...
International audienceIn this work, a framework based on maximum likelihood estimation and mutual in...
This book aims at attracting the interest of researchers and practitioners around the applicability ...
The field of artificial intelligence has been throughout its history repeatedly inspired by human co...
A thesis submitted in partial fulfillment of the requirements for the degree of Doctor in Informatio...
This paper describes the use of meta-learning in the area of data mining. It describes the problems ...
Today and always, human progress has been linked, among other aspects, to the capacity of facing pro...
Evolutionary Algorithms are population-based, stochastic search techniques, widely used as efficient...
International audienceThe many machine learning and data mining techniques produced over the last de...
International audienceMachine learning has proven to be a powerful tool in diverse fields, and is ge...
International audienceDuring the past few years, research in applying machine learning (ML) to desig...
The fields of machine meta-learning and hyper-heuristic optimisation have developed mostly independe...
The majority of the algorithms used to solve hard optimization problems today are population metaheu...
In the last years, organizations and companies in general have found the true potential value of col...
In: Encyclopedia of Systems Biology, W. Dubitzky, O. Wolkenhauer, K-H Cho, H. Yokota (Eds.), Springe...
Metaheuristic search algorithms look for solutions that either max-imise or minimise a set of object...
International audienceIn this work, a framework based on maximum likelihood estimation and mutual in...
This book aims at attracting the interest of researchers and practitioners around the applicability ...
The field of artificial intelligence has been throughout its history repeatedly inspired by human co...
A thesis submitted in partial fulfillment of the requirements for the degree of Doctor in Informatio...
This paper describes the use of meta-learning in the area of data mining. It describes the problems ...
Today and always, human progress has been linked, among other aspects, to the capacity of facing pro...
Evolutionary Algorithms are population-based, stochastic search techniques, widely used as efficient...