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Wie Betriebe Chancen verteilen : Feldexperimente zur Bedeutung von Fächernoten, Kopfnoten und Lücken im Lebenslauf bei der Auswahl von Auszubildenden
Kübler, Dorothea; Protsch, Paula; Schmid, Julia; … - 2015
Gute Schulnoten und gute Verhaltensbewertungen sind wichtige Kriterien für Ausbildungsbetriebe. Schlechtere Fächernoten verringern die Chancen; schlechte Kopfnoten schmälern sie noch mehr. Eine spätere Bewerbung nach dem Mittleren Schulabschluss muss nicht nachteilig sein - vor allem nicht...
Persistent link: https://www.econbiz.de/10011380190
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Zur Situation von Ausbildungsstellenbewerbern und -bewerberinnen : Ergebnisse der BA/B BB-Bewerberbefragung 2016
Eberhard, Verena; Gei, Julia; Borchardt, Dagmar; … - Bundesinstitut für Berufsbildung - 2018 - 1. Auflage
Persistent link: https://www.econbiz.de/10012169771
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Forecasting realized volatility with linear and nonlinear models
McAleer, Michael; Medeiros, Marcelo C. - 2010
of the integrated volatility that is computed from high frequency intra-day returns. We also consider a simple algorithm …
Persistent link: https://www.econbiz.de/10003962167
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Applied Algorithmic Machine Learning for Intelligent Project Prediction : Towards an AI Framework of Project Success
Hsu, Ming-Wei; Dacre, Nicholas; Senyo, PK - 2021
vector machine, and genetic algorithm and decision trees are sometimes used in several related studies. Furthermore, most …
Persistent link: https://www.econbiz.de/10013231395
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Employment Prediction Using Logistic Regression Algorithm
Dasgupta, Annesha; Ghosh, Dona; Vyas, Jatin - 2021
Prediction is a forecast of an event which may happen in future. Predictions are not necessary based upon the prior knowledge or experience for an event of interest. Every person does predictions but the quality of the predictions differs from person to person and that classifies them as a...
Persistent link: https://www.econbiz.de/10013242231
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Predicting the daily return direction of the stock market using hybrid machine learning algorithms
Zhong, Xiao; Enke, David - In: Financial innovation : FIN 5 (2019) 24, pp. 1-20
Big data analytic techniques associated with machine learning algorithms are playing an increasingly important role in various application fields, including stock market investment. However, few studies have focused on forecasting daily stock market returns, especially when using powerful...
Persistent link: https://www.econbiz.de/10012266935
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An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction
Ong, Pauline; Zainuddin, Zarita - In: Decision analytics journal 6 (2023), pp. 1-12
challenge for WNNs' initialization. The cuckoo search algorithm (CSA) is used in this study for optimizing WNNs. The position of …
Persistent link: https://www.econbiz.de/10014506437
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Performance Analysis of Pattern Recognition Algorithms Using Artificial Neural Networks
Jangapally, Thirupathi - 2020
Anti-Malware enterprise faces the venture of evaluating huge quantity of information for achievable malicious contents. This is due to the truth that hackers introduce polymorphism to the present malicious groups/classes. Effective function extraction and classification of malware facts is...
Persistent link: https://www.econbiz.de/10014093855
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Multiobjective Multi Verse Optimization Algorithm to Solve Dynamic Economic Emission Dispatch Problem with Transmission Loss Prediction by an Artificial Neural Network
Arunachalam, Sundaram - 2022
This work presents a potent multiobjective multiverse algorithm to solve the highly complicated dynamic economic … the thermal stations. A novel algorithm is proposed where the dynamic economic dispatch problem with losses is converted … during each hour of the dispatch period. The proposed algorithm is first tested on five and ten thermal unit systems with B …
Persistent link: https://www.econbiz.de/10013307434