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Introduction to Probability and Statistics from a Bayesian Viewpoint

D. V. Lindley • Cambridge University Press eBooks (1965)

The two parts of this book treat probability and statistics as mathematical disciplines and with the same degree of rigour as is adopted for other branches of applied mathematics at the level of a British honours degree. They contain the mi...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511662973

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Radiative Processes in Astrophysics

G. B. Rybicki, Alan P. Lightman • Wiley eBooks (1985)

Chapter 1 Fundamentals of Radiative Transfer 1.1 The Electromagnetic Spectrum Elementary Properties of Radiation 1.2 Radiative Flux Macroscopic Description of the Propagation of Radiation Flux from an Isotropic Source-The Inverse Square Law...

OPENALEX DOI: https://doi.org/10.1002/9783527618170

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Heterogeneous Graph Neural Network

Chuxu Zhang, Dongjin Song, Chao Huang, Ananthram Swami et al. • ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (2019)

Representation learning in heterogeneous graphs aims to pursue a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This...

OPENALEX Open Access DOI: https://doi.org/10.1145/3292500.3330961

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Time-Aware Service Ranking Prediction in the Internet of Things Environment

Yuze Huang, Jiwei Huang, Bo Cheng, Shuqing He et al. • Sensors (2017)

With the rapid development of the Internet of things (IoT), building IoT systems with high quality of service (QoS) has become an urgent requirement in both academia and industry. During the procedures of building IoT systems, QoS-aware ser...

DOAJ Open Access (DOAJ) DOI: 10.3390/s17050974

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Academic Articles & Research Papers

Introduction to Probability and Statistics from a Bayesian Viewpoint

Radiative Processes in Astrophysics

Heterogeneous Graph Neural Network

Time-Aware Service Ranking Prediction in the Internet of Things Environment