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  • Search: subject:"Hyper-parameter Optimization"
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Year of publication
Subject
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Theorie 3 Theory 3 Algorithm 2 Algorithmus 2 Artificial intelligence 2 Forecasting model 2 Hyper-parameter optimization 2 Künstliche Intelligenz 2 Prognoseverfahren 2 Aktienmarkt 1 AutoML 1 Bayesian-Optimized Ensemble Decision Trees 1 Classification 1 Data Mining 1 Data discretization 1 Data mining 1 Decision tree 1 Entscheidungsbaum 1 Evolutionary algorithm 1 Evolutionärer Algorithmus 1 Feature selection 1 Hauptkomponentenanalyse 1 Hyper-parameter Optimization 1 Klassifikation 1 Machine learning classifiers 1 Mathematical programming 1 Mathematische Optimierung 1 Multi-class classification 1 Multi-criteria analysis 1 Multikriterielle Entscheidungsanalyse 1 Multilayer feedforward perceptron 1 Neural networks 1 Neuronale Netze 1 Principal component analysis 1 Self-organizing maps 1 Stochastic process 1 Stochastic schemata exploiter 1 Stochastischer Prozess 1 Stock market 1 Time series analysis 1
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Online availability
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Free 2 CC license 1 Undetermined 1
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3
Language
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English 3
Author
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Durrani, Tariq S. 1 Kita, Eisuke 1 Makino, Hiroya 1 Motamedi, Behnaz 1 Namdari, Alireza 1 Villányi, Balázs 1
Published in...
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Operations research forum 1 The review of socionetwork strategies 1
Source
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ECONIS (ZBW) 3
Showing 1 - 3 of 3
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A predictive analytics model with Bayesian-Optimized Ensemble Decision Trees for enhanced crop recommendation
Motamedi, Behnaz; Villányi, Balázs - 2024
Researchers have been working on developing new effective, reliable, and environmentally friendly crop recommendation systems. This study introduces a thorough framework for predicting crop recommendations by combining sophisticated machine learning (ML) classifiers with a multi-class...
Persistent link: https://www.econbiz.de/10015419131
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A multilayer feedforward perceptron model in neural networks for predicting stock market short-term trends
Namdari, Alireza; Durrani, Tariq S. - In: Operations research forum 2 (2021) 3, pp. 1-30
Persistent link: https://www.econbiz.de/10012589934
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Application of a stochastic schemata exploiter for multi-objective hyper-parameter optimization of machine learning
Makino, Hiroya; Kita, Eisuke - In: The review of socionetwork strategies 17 (2023) 2, pp. 179-213
Persistent link: https://www.econbiz.de/10014425714
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