The Smart Optimization of Scalable Probabilistic Modeling with Gaussian Processes-Reference-Cited by-同舟云学术

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The Smart Optimization of Scalable Probabilistic Modeling with Gaussian Processes

Published:2024-01-29 Issue: Volume:35 Page:1-7
ISSN:
Container-title:2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)
language:
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Author:

Gobi N¹,Awasthi Aishwary²,Dwivedi Rakesh Kumar³

Affiliation:

1. Jain (Deemed to be University),Department of Computer Science and Information Technology,Bangalore,India

2. Sanskriti University,Department of Mechanical Engineering,Mathura,Uttar Pradesh,India

3. Teetthanker Mahaveer University,Department of Computing Sciences and Information Technology,Moradabad,Uttar Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10470457/10470444/10470544.pdf?arnumber=10470544

Reference19 articles.

1. A dynamic Gaussian process surrogate model based on the grasshopper optimization algorithm for non-probabilistic reliability analysis of complex structures

2. Transmit Antenna Selection for Sum-Rate Maximization with Multiclass Scalable Gaussian Process Classification

3. Probabilistic Back Analysis Based on Adam, Bayesian and Multi-output Gaussian Process for Deep Soft-Rock Tunnel

4. A probabilistic framework for product health monitoring in multistage manufacturing using Unsupervised Artificial Neural Networks and Gaussian Processes

5. Graph-guided Gaussian Process-based Diagnosis of CVD Severity with Uncertainty Measures

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