Search Results

Physics-aware, Probabilistic Machine Learning in the Small Data Regime

Download or Read eBook Physics-aware, Probabilistic Machine Learning in the Small Data Regime PDF written by Sebastian Johannes Kaltenbach and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle.
Physics-aware, Probabilistic Machine Learning in the Small Data Regime
Author :
Publisher :
Total Pages : 0
Release :
ISBN-10 : OCLC:1389384457
ISBN-13 :
Rating : 4/5 (57 Downloads)

Book Synopsis Physics-aware, Probabilistic Machine Learning in the Small Data Regime by : Sebastian Johannes Kaltenbach

Book excerpt:


Physics-aware, Probabilistic Machine Learning in the Small Data Regime Related Books

Physics-aware, Probabilistic Machine Learning in the Small Data Regime
Language: en
Pages: 0
Authors: Sebastian Johannes Kaltenbach
Categories:
Type: BOOK - Published: 2023 - Publisher:

DOWNLOAD EBOOK

Hardware-Aware Probabilistic Machine Learning Models
Language: en
Pages: 163
Authors: Laura Isabel Galindez Olascoaga
Categories: Technology & Engineering
Type: BOOK - Published: 2021-05-19 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book proposes probabilistic machine learning models that represent the hardware properties of the device hosting them. These models can be used to evaluate
The Statistical Physics of Data Assimilation and Machine Learning
Language: en
Pages: 207
Authors: Henry D. I. Abarbanel
Categories: Computers
Type: BOOK - Published: 2022-02-17 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

The theory of data assimilation and machine learning is introduced in an accessible manner for undergraduate and graduate students.
Physics-guided Machine Learning for Small Data Sets
Language: en
Pages: 0
Authors: Andrea Spichtinger
Categories:
Type: BOOK - Published: 2021 - Publisher:

DOWNLOAD EBOOK

Probabilistic Machine Learning for Advanced Engineering Design Optimization and Diagnostics
Language: en
Pages:
Authors: Sudeepta Mondal
Categories:
Type: BOOK - Published: 2020 - Publisher:

DOWNLOAD EBOOK

Mechanical systems often involve multi-physics interactions and complex nonlinearities due to which design optimization and diagnostics become challenging. The
Scroll to top