Titlebook: Nature-Inspired Computation in Data Mining and Machine Learning; Xin-She Yang,Xing-Shi He Book 2020 Springer Nature Switzerland AG 2020 Na

本義

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書目名稱Nature-Inspired Computation in Data Mining and Machine Learning影響因子(影響力)學(xué)科排名




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書目名稱Nature-Inspired Computation in Data Mining and Machine Learning網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Nature-Inspired Computation in Data Mining and Machine Learning被引頻次




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書目名稱Nature-Inspired Computation in Data Mining and Machine Learning讀者反饋




書目名稱Nature-Inspired Computation in Data Mining and Machine Learning讀者反饋學(xué)科排名

Ambiguous

https://doi.org/10.1007/978-3-030-28553-1Nature-inspired Algorithm; Computational Intelligence; Bio-inspired Computation; Bioinformatics; Data Mi

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粗俗人

978-3-030-28555-5Springer Nature Switzerland AG 2020

palpitate

Nature-Inspired Computation in Data Mining and Machine Learning978-3-030-28553-1Series ISSN 1860-949X Series E-ISSN 1860-9503

lacrimal-gland

ARK

Lament

1860-949X e learning.Discusses key directions in topics such as natureThis book reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot

Cacophonous

Book 2020ne learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their importance in both theory and practical applications. Adopting an application-focused approach, each chapter introduces a specific topic, with detailed descriptions of relevant alg

Gorilla

,Algorithms for Optimization and?Machine Learning over Cloud, in exact way over the cloud environment. We also present these computations when the data is available in streaming fashion. Finally, we present related probabilistic generative models (PPCA and PLDA) and show comparative study between these algorithms with implemented experiments and related results.