most citedSpectrum-Diverse Neuroevolution with Unified Neural Models

37 citations · 55 across the 2 of their papers we have counts for

collaborators

5 papers

cs.NE201937 cited

Spectrum-Diverse Neuroevolution with Unified Neural Models

Danilo Vasconcellos Vargas, Junichi Murata

Learning algorithms are being increasingly adopted in various applications. However, further expansion will require methods that work more automatically. To enable this level of au…

cs.NE201918 cited

General Subpopulation Framework and Taming the Conflict Inside Populations

Danilo Vasconcellos Vargas, Junichi Murata, Hirotaka Takano +1

Structured evolutionary algorithms have been investigated for some time. However, they have been under-explored specially in the field of multi-objective optimization. Despite thei…

cs.NE2018

Self Organizing Classifiers and Niched Fitness

Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata

Learning classifier systems are adaptive learning systems which have been widely applied in a multitude of application domains. However, there are still some generalization problem…

cs.NE2018

Self Organizing Classifiers: First Steps in Structured Evolutionary Machine Learning

Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata

Learning classifier systems (LCSs) are evolutionary machine learning algorithms, flexible enough to be applied to reinforcement, supervised and unsupervised learning problems with…

cs.LG2018

Contingency Training

Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata

When applied to high-dimensional datasets, feature selection algorithms might still leave dozens of irrelevant variables in the dataset. Therefore, even after feature selection has…