Search Results - subject:"deep-neural network"

FluxNLPModels.jl and KnetNLPModels.jl : connecting deep learning models with optimization solvers

Rahbarnia, Farhad; Raynaud, Paul - 2023

Persistent link: https://www.econbiz.de/10014312825

Fricker, Nicolai Benjamin; Krüger, Nicolai; Schubart, … - 2024

(Edwards et al., 2019; Bruce et al., 2024) to train deep neural network models to play these games. In this work, videos from … train deep neural network models to play Sokoban. These models were further improved with reinforcement learning in …

Persistent link: https://www.econbiz.de/10015072803

On-line strategy selection for reducing overcrowding in an Emergency Department

Fabbri, Cristiano; Lombardi, Michele; Malaguti, Enrico; … - In: Omega : the international journal of management science 127 (2024), pp. 1-15

Persistent link: https://www.econbiz.de/10014557620

Learning to play Sokoban from videos

Fricker, Nicolai Benjamin; Krüger, Nicolai; Schubart, … - 2024

Persistent link: https://www.econbiz.de/10015069966

On the suitability of a Convolutional Neural Network based RCM-Emulator for fine spatio-temporal precipitation

Doury, Antoine; Somot, Samuel; Gadat, Sébastien - 2024

Persistent link: https://www.econbiz.de/10014450927

Deep neural network expressivity for optimal stopping problems

Gonon, Lukas - In: Finance and stochastics 28 (2024) 3, pp. 865-910

Persistent link: https://www.econbiz.de/10015130415

Estimation and inference for a class of generalized hierarchical models

Dong, Chaohua; Gao, Jiti; Peng, Bin; Yan, Yayi - 2024

Persistent link: https://www.econbiz.de/10014534139

Data Analysis and Mining

Ougiaroglou, Stefanos (contributor); … - 2023

The research field of data analysis and mining has attracted the interest of both academia and industry in recent years. This reprint contains 17 papers, which cover different topics of the broad research field of data analysis and mining. Each paper presents new data mining algorithms and...

Persistent link: https://www.econbiz.de/10015060957

A modified random forest incremental interpretation method for explaining artificial and deep neural networks in cycle time prediction

Chen, Toly; Wang, Yu-Cheng - In: Decision analytics journal 7 (2023), pp. 1-11

Methods based on artificial neural network (ANN) or deep neural network (DNN) applications have been proposed to …

Persistent link: https://www.econbiz.de/10014436432

Hybrid ARDL-MIDAS-Transformer time-series regressions for multi-topic crypto market sentiment driven by price and technology factors

Chalkiadakis, Ioannis; Peters, Gareth; Ames, Matthew - In: Digital finance : smart data analytics, investment … 5 (2023) 2, pp. 295-365

Persistent link: https://www.econbiz.de/10014369259

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