The goal of this thesis is to provide support to the analyst in selecting the appropriate classification algorithm for a specific problem, taking into consideration the nature of the problem. We make no distinction between an algorithm and the representational model of the algorithm, we consider the learning algorithm as the entity to be selected [...
In: Encyclopedia of Systems Biology, W. Dubitzky, O. Wolkenhauer, K-H Cho, H. Yokota (Eds.), Springe...
In the last years, organizations and companies in general have found the true potential value of col...
: Meta-learning is a field of learning that aims at addressing the challenges of conventional machin...
The goal of this thesis is to provide support to the analyst in selecting the appropriate classifica...
Algorithm Selection and configuration are increasingly relevant today. Researchers and practitioners...
The field of artificial intelligence has been throughout its history repeatedly inspired by human co...
This paper describes the use of meta-learning in the area of data mining. It describes the problems ...
Determining the conditions for which a given learning algorithm is appropriate is an open problem in...
Abstract. The success of machine learning on a given task depends on, among other things, which lear...
Abstract. The algorithm selection problem aims to select the best al-gorithm for an input problem in...
This paper introduces a new method for learning algorithm evaluation and selection, with empirical r...
The algorithm selection problem aims to select the best algorithm for an input problem instance acco...
Identifying the best machine learning algorithm for a given problem continues to be an active area o...
International audienceMeta-learning tackles various means of learning from past tasks to perform new...
Knowledge discovery is the data mining task. Number of classification algorithms is present for know...
In: Encyclopedia of Systems Biology, W. Dubitzky, O. Wolkenhauer, K-H Cho, H. Yokota (Eds.), Springe...
In the last years, organizations and companies in general have found the true potential value of col...
: Meta-learning is a field of learning that aims at addressing the challenges of conventional machin...
The goal of this thesis is to provide support to the analyst in selecting the appropriate classifica...
Algorithm Selection and configuration are increasingly relevant today. Researchers and practitioners...
The field of artificial intelligence has been throughout its history repeatedly inspired by human co...
This paper describes the use of meta-learning in the area of data mining. It describes the problems ...
Determining the conditions for which a given learning algorithm is appropriate is an open problem in...
Abstract. The success of machine learning on a given task depends on, among other things, which lear...
Abstract. The algorithm selection problem aims to select the best al-gorithm for an input problem in...
This paper introduces a new method for learning algorithm evaluation and selection, with empirical r...
The algorithm selection problem aims to select the best algorithm for an input problem instance acco...
Identifying the best machine learning algorithm for a given problem continues to be an active area o...
International audienceMeta-learning tackles various means of learning from past tasks to perform new...
Knowledge discovery is the data mining task. Number of classification algorithms is present for know...
In: Encyclopedia of Systems Biology, W. Dubitzky, O. Wolkenhauer, K-H Cho, H. Yokota (Eds.), Springe...
In the last years, organizations and companies in general have found the true potential value of col...
: Meta-learning is a field of learning that aims at addressing the challenges of conventional machin...
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