検索結果 - basic (difference OR differences) relation (algorithm* OR algorithms*)*

Metrology

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Zoom sur quelques erreurs récurrentes lors des premiers apprentissages en algorithmique 著者: Léonard, Marielle

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X-Machines for Agent-Based Modeling 著者: Kiran, Mariam

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Tensor Network Contractions 著者: Ran, Shi-Ju, Tirrito, Emanuele, Peng, Cheng, Chen, Xi, Tagliacozzo, Luca, Su, Gang, Lewenstein, Maciej

“…Varieties of tensor network algorithms have been proposed for different problems. …”
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Advances in Near Infrared Spectroscopy and Related Computational Methods 著者: Bec, Krzysztof B., Huck, Christian

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Entropy Measures for Data Analysis: Theory, Algorithms and Applications 著者: Keller, Karsten

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The Foundation of Precision Medicine: Integration of Electronic Health Records with Nenomics Through Basic, Clinical, and Translational Research 著者: Mariza de Andrade, Helena Kuivaniemi, Marylyn D. Ritchie

“…Chapter 2 describes the results of genetic studies on different diseases for which all the phenotypic information was extracted from the EHR with highly specific ePhenotyping algorithms. …”
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Individual differences in associative learning 著者: Rachel M. Msetfi, Robin A. Murphy

“…In general, learning theories are monolithic, the same theory applies to the rat and the human, and within people the same algorithm is applied to all individuals. If so this might be thought to suggest that there is little that learning theory can tell us about the how males and females differ, how we change over time or why someone develops schizophrenia for instance. …”
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Discrete Event Simulations

“…The range of application of DES spans across many different disciplines and research fields. In research, further development and advancements of the basic DES algorithm continue to be sought while various hybrid methods derived by combining DES with other simulation techniques continue to be developed. …”
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Uncertain Multi-Criteria Optimization Problems

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Metalearning 著者: Brazdil, Pavel, van Rijn, Jan N., Soares, Carlos, Vanschoren, Joaquin

“…It can thus help developers improve their algorithms and also develop learning systems that can improve themselves. …”
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