Suchergebnisse - basic different (relocation OR relation) algorithm*

Metrology

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

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

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

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

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