Αποτελέσματα αναζήτησης - basic difference (relocation OR relation) algorithm*

Metrology

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

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X-Machines for Agent-Based Modeling από Kiran, Mariam

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Tensor Network Contractions από 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 από Bec, Krzysztof B., Huck, Christian

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

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The Foundation of Precision Medicine: Integration of Electronic Health Records with Nenomics Through Basic, Clinical, and Translational Research από 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 από 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 από 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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