Results 41 to 50 of about 2,128 (206)
Face Patches Designed Through Neuroevolution for Face Recognition With Large Pose Variation
IEEE Access, 2023 Face Recognition (FR) has been a widely used biometric technique for identity authentication in various domains. Despite the remarkable progress in the field of FR during the past few years, there are still challenges that need to be addressed, including
Juan P. Perez, Claudio A. Perez
doaj +1 more source
The Evolution of Neuroplasticity and the Effect on Integrated Information
Entropy, 2019 Information integration theory has been developed to quantify consciousness. Since conscious thought requires the integration of information, the degree of this integration can be used as a neural correlate (Φ) with the intent to measure degree of ...
Leigh Sheneman +2 more
doaj +1 more source
Stochastic Constraint Programming by Neuroevolution with Filtering [PDF]
, 2010 Stochastic Constraint Programming is an extension of Constraint Programming for modelling and solving combinatorial problems involving uncertainty.
Prestwich, Steve D. +3 more
core +3 more sources
Complexity, 2019 Neuroevolution is the field of study that uses evolutionary computation in order to optimize certain aspect of the design of neural networks, most often its topology and hyperparameters.
Alejandro Baldominos +2 more
doaj +1 more source
Genotype dynamic for agent neuroevolution in artificial life model
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, 2017 Cooperation behavior is one of the most used and spread Multi-agent system feature. In some cases emergence of this behaviour can be characterized by division of population on co-evolving subpopulations [1], [2].
Valentine V. Zavertanyy, A. S. Makarenko
doaj +1 more source
Towards Behavioral Consistency in Neuroevolution [PDF]
, 2012 To survive in its environment, an animat must have a be-havior that is not too disturbed by noise or any other distractor. Itsbehavior is supposed to be relatively unchanged when testedon similarsituations. Evolving controllers that are robust and generalize well oversimilar contexts remains a challenge for several reasons.
Ollion, Charles, Doncieux, Stéphane
openaire +3 more sources
Incorporating Advice into Neuroevolution of Adaptive Agents
, 2021 Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real time, making it possible to e.g. construct video games with adaptive agents.
Yong, Chern +3 more
core +1 more source
JOIV: International Journal on Informatics Visualization, 2021 Diabetes in Indonesia has been perceived as a grave health problem and has been a concern since the early 1980’s [2]. The prevalence of diabetes in adults in Indonesia, as stated by IDF, was 6.2% with the total case amounting to 10.681.400.
A.B.M. Wijaya +3 more
doaj +1 more source
An adaptive neuroevolution-based hyperheuristic [PDF]
Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020 TIN2016-78365R BERC 2014-2017 Research Groups 2013-2018 (IT-609-13).
Etor Arza +3 more
openaire +2 more sources
Class binarization to neuroevolution for multiclass classification
, 2022 Multiclass classification is a fundamental and challenging task in machine learning. The existing techniques of multiclass classification can be categorized as (1) decomposition into binary (2) extension from binary and (3) hierarchical classification ...
Lan, Gongjin; id_orcid +6 more
core +1 more source