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  • Search: subject:"Hyper-parameter"
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Year of publication
Subject
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Theorie 4 Theory 4 Artificial intelligence 3 Künstliche Intelligenz 3 Mathematical programming 3 Mathematische Optimierung 3 Algorithm 2 Algorithmus 2 Bayesian weak merging 2 Compound experiments 2 Evolutionary algorithm 2 Evolutionärer Algorithmus 2 Forecasting model 2 Frequentist strong merging 2 Hyper-parameter optimization 2 Latent distribution 2 Maximum marginal likelihood estimation 2 Prognoseverfahren 2 Shrinkage estimation 2 Activity location 1 Aktienmarkt 1 AutoML 1 Automation 1 Automatisierung 1 Bayesian-Optimized Ensemble Decision Trees 1 Classification 1 Cluster analysis 1 Clusteranalyse 1 Data Mining 1 Data discretization 1 Data mining 1 Decision tree 1 Density-based clustering 1 Entscheidungsbaum 1 Evolutionary economics 1 Evolutionary hyper parameter optimisation 1 Evolutionsökonomik 1 Feature selection 1 Frequentist strong merging Hyper-parameter oracle value 1 Geospatial clustering 1
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Online availability
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Undetermined 5 Free 2 CC license 1
Type of publication
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Article 7 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 5 Aufsatz in Zeitschrift 5
Language
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English 5 Undetermined 3
Author
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Petrone, Sonia 2 Rizzelli, Stefano 2 Rousseau, Judith 2 Scricciolo, Catia 2 Bachoc, François 1 Beer, Dirk J. de 1 Durrani, Tariq S. 1 Jiang, Wei 1 Joubert, Johan W. 1 Kita, Eisuke 1 Makino, Hiroya 1 Motamedi, Behnaz 1 Namdari, Alireza 1 Siddiqui, Sauleh 1 Villányi, Balázs 1
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Institution
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Université Paris-Dauphine (Paris IX) 1
Published in...
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Computational Statistics & Data Analysis 1 Computers & operations research : and their applications to problems of world concern ; an international journal 1 EURO journal on computational optimization 1 Economics Papers from University Paris Dauphine 1 METRON 1 Operations research forum 1 The review of socionetwork strategies 1
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Source
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ECONIS (ZBW) 5 RePEc 3
Showing 1 - 8 of 8
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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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Hyper-parameter optimization for support vector machines using stochastic gradient descent and dual coordinate descent
Jiang, Wei; Siddiqui, Sauleh - In: EURO journal on computational optimization 8 (2020) 1, pp. 85-101
Persistent link: https://www.econbiz.de/10012803807
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Evolutionary optimisation of large-scale activity clustering with increased automation
Beer, Dirk J. de; Joubert, Johan W. - In: Computers & operations research : and their … 146 (2022), pp. 1-13
Persistent link: https://www.econbiz.de/10013348199
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Empirical Bayes methods in classical and Bayesian inference
Scricciolo, Catia; Rousseau, Judith; Rizzelli, Stefano; … - Université Paris-Dauphine (Paris IX) - 2014
Empirical Bayes methods are often thought of as a bridge between classical and Bayesian inference. In fact, in the literature the term empirical Bayes is used in quite diverse contexts and with different motivations. In this article, we provide a brief overview of empirical Bayes methods...
Persistent link: https://www.econbiz.de/10010891137
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Empirical Bayes methods in classical and Bayesian inference
Petrone, Sonia; Rizzelli, Stefano; Rousseau, Judith; … - In: METRON 72 (2014) 2, pp. 201-215
Empirical Bayes methods are often thought of as a bridge between classical and Bayesian inference. In fact, in the literature the term empirical Bayes is used in quite diverse contexts and with different motivations. In this article, we provide a brief overview of empirical Bayes methods...
Persistent link: https://www.econbiz.de/10011000676
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Cross Validation and Maximum Likelihood estimations of hyper-parameters of Gaussian processes with model misspecification
Bachoc, François - In: Computational Statistics & Data Analysis 66 (2013) C, pp. 55-69
estimation of a single variance hyper-parameter is addressed, for which the fixed correlation function is misspecified. A …
Persistent link: https://www.econbiz.de/10010666180
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