Suchergebnisse - "algorithm selection"

Machine learning-based algorithm selection for irregular three-dimensional packing in additive manufacturing von de Araújo, Luiz Jonatã Pires, Özcan, Ender, Atkin, Jason A.D., Baumers, Martin, Drake, John H.

“… This study demonstrates the utilisation of machine learning for algorithm selection to find efficient layout configurations during the design stage of the AM process …”
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A review on preprocessing algorithm selection with meta-learning von Pio, Pedro B., Rivolli, Adriano, Carvalho, André C. P. L. F. de, Garcia, Luís P. F.

“… However, the preprocessing step is usually not well handled by those tools. Thus, in this work, we present a systematic review of preprocessing algorithms selection with meta-learning, aiming to find the state of the art in this field …”
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Multi Criteria Methodology for Aircraft Trajectory Planning Algorithm Selection: A Survey von Guitart, Andreas, Demouge, Celine, Delahaye, Daniel, Feron, Eric

“… Each phase of flight raises different issues and is subject to particular constraints …”
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Data-driven algorithm selection and tuning in optimization and signal processing von De Loera, Jesús A., Haddock, Jamie, Ma, Anna, Needell, Deanna

“… Machine learning algorithms typically rely on optimization subroutines and are well known to provide very effective outcomes for many types of problems. Here, …”
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Ensemble method for cluster number determination and algorithm selection in unsupervised learning [version 1; peer review: 2 approved with reservations, 1 not approved] von Zambelli, Antoine

“… ; all of this before embarking on their actual subject matter work. After quantifying the impact of algorithm and hyperparameter selection, we propose an ensemble clustering framework which can be leveraged with minimal input …”
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Control Algorithm Selection Technique for Vehicle Robotic Transmission in the Urban Cycle von Sarach, Evgeniy, Tsipilev, Alexander, Smirnov, Igor

“… , via more rational use of the internal combustion engine capabilities. This paper is devoted to developing a control algorithm selection technique for economy class …”
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Selecting algorithms for large berth allocation problems von Wawrzyniak, Jakub, Drozdowski, Maciej, Sanlaville, Éric

“… •Algorithm portfolios evolving with runtime limit outperform fixed portfolios. This paper considers algorithm selection for the berth allocation problem (BAP …”
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Framework of algorithm portfolios for strip packing problem von Piechowiak, Kamil, Drozdowski, Maciej, Sanlaville, Éric

“… In this paper selection of fast algorithm portfolios for 2SP packing problem is considered. The 2SP problem consists in placing rectangles on a strip of the …”
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Instance space analysis for a personnel scheduling problem von Kletzander, Lucas, Musliu, Nysret, Smith-Miles, Kate

“… This paper considers the Rotating Workforce Scheduling Problem, and shows how the strengths and weaknesses of various solution methods can be understood by the …”
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AUTOMATIC HYPERPARAMETER OPTIMIZATION FOR CLUSTERING ALGORITHMS WITH REINFORCEMENT LEARNIN von S. B. Muravyov, V. A. Efimova, V. V. Shalamov, A. A. Filchenkov, I. B. Smetannikov

“… Thus, the problem is reduced to multi-armed bandit problem. Method. The paper presented the approach for simultaneous algorithm selection and hyperparameters optimization …”
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Ensemble Method for Cluster Number Determination and Algorithm Selection in Unsupervised Learning von Zambelli, Antoine

“… All of this before embarking on their actual subject matter work. After quantifying the impact of algorithm and hyperparameter selection, we propose an ensemble clustering framework which can be leveraged with minimal input …”
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Assessment of genetic algorithm selection, crossover and mutation techniques in power loss optimization for a hydrocarbon facility von Al-Hajri, Muhammad Tami, Abido, M. A., Darwish, M. K.

“… ). The subject plant electrical system consists of 275 buses, two gas turbine generators, two steam turbine generators, large synchronous motors, and other rotational and static loads …”
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Bid evaluation in combinatorial auctions: optimization and learning von Milano, Michela, Guerri, Alessio

“… ), where items are services and are subject to precedence constraints and temporal windows. The BEP has many practical applications, such as, for instance, in transportation routes auctions and in take off and landing time slot allocation problems …”
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On the Use of DesertFD to Generate Custom Architectures for H.264 Motion Estimation von Saraswat, R., Eames, B.

“… that architecture, while subject to constraints on both area and execution time. Design space exploration (DSE …”
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An investigation of multimodal EMG-EEG fusion strategies for upper-limb gesture classification von Pritchard, Michael, Campelo, Felipe, Goldingay, Harry

“… . We propose an unbiased methodology for designing classifiers centred on Automated Machine Learning through Combined Algorithm Selection …”
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MRI R2 and quantitative susceptibility mapping in brain tissue with extreme iron overload von Birkl, Christoph, Panzer, Marlene, Kames, Christian, Birkl-Toeglhofer, Anna Maria, Rauscher, Alexander, Glodny, Bernhard, Gizewski, Elke R., Zoller, Heinz

“… * and QSM in three patients with ACP and three healthy subjects. Six algorithms each for R2 …”
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An Intelligent Classification Diagnosis Based on Blood Oxygen Saturation Signals for Medical Data Security Including COVID-19 in Industry 5.0 von Zhang, Mingdong, Dong, Chaoyu, Zhang, Dongming, Tseng, Ming-Lang, Wei, Jianguo

“… Alternative to the polysomnography (PSG) diagnosis, the proposed method assesses the subject's degree of illness considering the supply chain and Industry …”
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Breast MRI segmentation for density estimation: Do different methods give the same results and how much do differences matter? von Doran, Simon J., Hipwell, John H., Denholm, Rachel, Eiben, Björn, Busana, Marta, Hawkes, David J., Leach, Martin O., Silva, Isabel dos Santos

“… , Dice and Jaccard coefficients) as the primary determinant in algorithm selection. Methods Two methods of breast segmentation were applied to the task of calculating …”
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A characteristic cerebellar biosignature for bipolar disorder, identified with fully automatic machine learning von Thomaidis, Georgios V., Papadimitriou, Konstantinos, Michos, Sotirios, Chartampilas, Evangelos, Tsamardinos, Ioannis

“… A fully automated machine learning platform, based on the most suitable algorithm selection and relevant set of hyper-parameter values, was applied on a preprocessed transcriptomics dataset, in order …”
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Non-intrusive binaural speech recognition prediction for hearing aid processing von Roßbach, Jana, Westhausen, Nils L., Kayser, Hendrik, Meyer, Bernd T.

“… ), aided users are applicable to automatically select the best algorithm. To this end, SR experiments are conducted with 19 HI subjects who are aided with an open-source HA. Listeners …”
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