Search Results - "reinforcement learning"

Geostatistics Toronto 2021 Quantitative Geology and Geostatistics /

Table of Contents: “…A Geostatistical Heterogeneity Metric For Spatial Feature Engineering -- Iterative Gaussianisation For Multivariate Transformation -- Comparing And Detecting Stationarity And Dataset Shift -- Simulation Of Stationary Gaussian Random Fields With A Gneiting Spatio-Temporal Covariance -- Spectral Simulation Of Gaussian Vector Random Fields On The Sphere -- Geometric And Geostatistical Modeling Of Point Bars -- Application Of Reinforcement Learning For Well Location Optimization -- Compression-Based Modelling Honouring Facies Connectivity In Diverse Geological Systems -- Spatial Uncertainty In Pore Pressure Models At The Brazilian Continental Margin -- The Suitability Of Different Training Images For Producing Low Connectivity, High Net:Gross Pixel-Based Mps Models -- Probabilistic Integration Of Geomechanical And Geostatistical Inferences For Mapping Natural Fracture Networks.…”
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AI based Robot Safe Learning and Control by Zhou, Xuefeng, Xu, Zhihao, Li, Shuai, Wu, Hongmin, Cheng, Taobo, Lv, Xiaojing

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New Insights in Machine Learning and Deep Neural Networks

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Computational Optimizations for Machine Learning

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PENGARUH PEMBERIAN PENGUATAN (REINFORCEMENT) GURU TERHADAP MOTIVASI BELAJAR SISWA SD KEMALA BHAYANGKARI 1 by Amelia Ratih Damayanti, Suharmono Kasiyun, Suharmono Kasiyun, Nafiah Nafiah, Nafiah Nafiah, Sri Hartatik, Sri Hartatik

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Major areas of interest of artificial intelligence research applied to health care administrative data: a scoping review by Olga Bukhtiyarova, Amna Abderrazak, Yohann Chiu, Yohann Chiu, Stephanie Sparano, Marc Simard, Marc Simard, Caroline Sirois, Caroline Sirois

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Machine learning and deep learning in medicine and neuroimaging by Iván Sánchez Fernández, Jurriaan M. Peters

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Nursing management in the fever clinic in a general hospital under the normalization of prevention and control of COVID-19 (新型冠状病毒肺炎疫情常态化防控期间综合医院发热门诊护理管理实践)... by YAN Junjie (闫俊杰), QI Wenjing (綦文婧), LI Jia (李佳), WANG Meiyu (王美玉)

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PENERAPAN REINFORCEMENT UNTUK MENINGKATKAN MOTIVASI DAN HASIL BELAJAR SISWA DALAM PEMBELAJARAN PENDIDIKAN JASMANI by EKA MADIYA, -

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Quantitative Models in Life Science Business From Value Creation to Business Processes /

Table of Contents: “…Multi-Echelon Inventory Optimization Using Deep Reinforcement Learning -- Part III. Specialized Quantitative Tools in the Life Science Industry -- Chapter 6. …”
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Digital Twin Architectures, Networks, and Applications / by Zhang, Yan

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Accessing Artificial Intelligence for Clinical Decision-Making by Chris Giordano, Meghan Brennan, Basma Mohamed, Parisa Rashidi, François Modave, Patrick Tighe

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A scoping review of methodologies for applying artificial intelligence to physical activity interventions by Ruopeng An, Jing Shen, Junjie Wang, Yuyi Yang

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Opportunities, challenges and future perspectives of using bioinformatics and artificial intelligence techniques on tropical disease identification using omics data by S. M. Vidanagamachchi, K. M. G. T. R. Waidyarathna

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Discovering Photoswitchable Molecules for Drug Delivery with Large Language Models and Chemist Instruction Training by Junjie Hu, Peng Wu, Yulin Li, Qi Li, Shiyi Wang, Yang Liu, Kun Qian, Guang Yang

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Concepts in Action Representation, Learning, and Application /

Table of Contents: “…Emergence of Grounded Communication and Concepts using Deep Reinforcement Learning (Michael Spranger) -- Chapter 6. Prototypes, Theory, Trust: A Multi-Dimensional Model of Concepts And a Computational Approximation (David Schlangen) -- Chapter 7. …”
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Identification, Knowledge Engineering and Digital Modeling for Adaptive and Intelligent Control

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Revolutionizing Drug Design with Artificial Intelligence: A Comprehensive Review of Techniques, Applications, and Case Studies by Varun Pareek, Lakshya Tuteja, Lokendra Sharma, Susheel Kumar, Noopur Verma

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Conservation of the Direct and Indirect Pathway Dichotomy in Mouse Caudal Striatum With Uneven Distribution of Dopamine Receptor D1- and D2-Expressing Neurons by Kumiko Ogata, Fuko Kadono, Yasuharu Hirai, Yasuharu Hirai, Ken-ichi Inoue, Masahiko Takada, Fuyuki Karube, Fuyuki Karube, Fumino Fujiyama, Fumino Fujiyama

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Unmanned Aircraft Systems with Autonomous Navigation

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