• Suche: Distributed machine learning with Python

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181

secml: Secure and explainable machine learning in Python
Maura Pintor ; Luca Demetrio ; Angelo Sotgiu ; et al.
SoftwareX, Vol 18, Iss , Pp 101095- (2022)

Machine learning Security Adversarial attacks Explainability Python3 Computer software …
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182

Distributed learning from multiple EHR databases: Contextual embedding models for medical events.
Li Z ; Roberts K ; Jiang X ; et al.
Publisher: Elsevier Country of Publication: United States NLM ID: 100970413 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-0480 (Electronic) Linking ISSN: 15320464 NLM ISO Abbreviation: J Biomed Inform Subsets: MEDLINE

Diagnosis, Computer-Assi... Humans Computer Communication N... Electronic Health Record... Machine Learning
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183

Applied machine learning in wind speed prediction and loss minimization in unbalanced radial distribution system.
Routray, Aliva ; Mistry, Khyati D ; Arya, Sabha Raj ; et al.
Energy Sources Part A: Recovery, Utilization & Environmental Effects; 2025, Vol. 47 Issue 1, p3790-3810, 21p

DISTRIBUTED power genera... ARTIFICIAL neural networ... WIND speed IMPEDANCE matrices WIND forecasting WIND power
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184

The missing link between massive data and AI: parallel computing with Heat
Comito, Claudia ; Hagemeier, Björn ; Tarnawa, Michael ; et al.

memory-distributed compu... parallel computing data-intensive science Big Data Analytics Python Message Passing Interfac... …
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185

Scikit-learn: Machine Learning in Python
Pedregosa, Fabian ; Varoquaux, Gaël ; Gramfort, Alexandre ; et al.
Journal of Machine Learning Research, 2011

Python supervised learning unsupervised learning model selection Python; supervised learn... [INFO.INFO-LG]Computer S... …
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186

Accelerating Distributed Learning in Non-Dedicated Environments
Chen Chen ; Qizhen Weng ; Wei Wang ; et al.
IEEE Transactions on Cloud Computing. 11:515-531

Load management Load modeling 4. Education Distributed Machine Lear... Computational modeling 02 engineering and techn... …
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187

PyDTNN: A user-friendly and extensible framework for distributed deep learning
Barrachina Mir, Sergio ; Castelló, Adrián ; Catalán Carbó, Mar ; et al.

deep neural networks distributed parallel tra... Python
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188

Python at Warp Speed
Schreiber, Andreas

Verteilte Systeme und Ko... distributed computing Institut für Simulations... machine learning Data Science HPC …
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189

Chainer: A Deep Learning Framework for Accelerating the Research Cycle
Tokui, Seiya ; Okuta, Ryosuke ; Akiba, Takuya ; et al.

Computer Science - Machi... Computer Science - Compu... Computer Science - Distr... Statistics - Machine Lea...
Report
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190

基于自动化机器学习构建胆总管结石自发排石预测模型及应用程序.
陈, 健 ; 夏, 开建 ; 高, 福利 ; et al.
Journal of Clinical Hepatology / Linchuang Gandanbing Zazhi. Mar2025, Vol. 41 Issue 3, p518-527. 10p.

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191

Analyzing distributed Spark MLlib regression algorithms for accuracy, execution efficiency and scalability using best subset selection approach.
Sewal, Piyush ; Singh, Hari
Multimedia Tools & Applications; May2024, Vol. 83 Issue 15, p44047-44066, 20p

INDIA SUBSET selection FEATURE selection MACHINE learning STANDARD deviations REGRESSION trees …
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192

Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks
Sohn, Jy-yong ; Han, Dong-Jun ; Choi, Beongjun ; et al.

Computer Science - Infor... Computer Science - Distr... Computer Science - Machi...
Report
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193

Least Squares Approximation for a Distributed System
Zhu, Xuening ; Li, Feng ; Wang, Hansheng
Journal of Computational and Graphical Statistics 2021

Statistics - Methodology Computer Science - Distr... Computer Science - Machi... Statistics - Computation Statistics - Machine Lea...
Report
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195

Enhancing resilience of distributed DC microgrids against cyber attacks using a transformer-based Kalman filter estimator.
Rostami, Seyyed Mohammad Hosseini ; Pourgholi, Mahdi ; Asharioun, Hadi
Scientific Reports. 2/25/2025, Vol. 15 Issue 1, p1-29. 29p.

LONG short-term memory BOX-Jenkins forecasting ARTIFICIAL intelligence CYBERTERRORISM TRANSFORMER models DEEP learning
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196

PySpark: Big Data Processing Made Easy.
Bhardwaj, Aditya
Open Source For You; Apr2024, Vol. 12 Issue 6, p55-57, 3p

BIG data DATA structures PYTHON programming langu... DISTRIBUTED computing COMPUTER engineering MACHINE learning …
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197

Learning distributed representations of graphs with Geo2DR
Scherer, Paul ; Lio, Pietro

Computer Science - Machi... Statistics - Machine Lea...
Report
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198

StreamChol: a web-based application for predicting cholestasis.
Rodríguez-Belenguer, Pablo ; Soria-Olivas, Emilio ; Pastor, Manuel
Journal of Cheminformatics; 1/21/2025, Vol. 17 Issue 1, p1-8, 8p

MACHINE learning IMAGE processing softwar... WEBSITES SYSTEMS software ARTIFICIAL intelligence PYTHON programming langu...
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199

SCAC: Smart Contract-Based Access Control in IoT.
Andalib, Abdolreza ; Rezakhani, Afshin ; Aski, Akbar Morshed ; et al.
Wireless Personal Communications; Dec2024, Vol. 139 Issue 3, p1541-1563, 23p

ARTIFICIAL intelligence IMAGE processing softwar... DISTRIBUTED computing MACHINE learning SMART devices
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200

Data Engineering for HPC with Python
Pulasthi Wickramasinghe ; Niranda Perera ; Vibhatha Abeykoon ; et al.
2020 IEEE/ACM 9th Workshop on Python for High-Performance and Scientific Computing (PyHPC). :13-21

Performance (cs.PF) Software Engineering (cs... FOS: Computer and inform... Computer Science - Compu... Computer Science - Softw... Computer Science - Perfo... …
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