Results 11 to 20 of about 8,368,743 (296)

ML meets MLn: Machine learning in ligand promoted homogeneous catalysis

Artificial Intelligence Chemistry, 2023
The benefits of using machine learning approaches in the design, optimisation and understanding of homogeneous catalytic processes are being increasingly realised.
Jonathan D. Hirst, Samuel Boobier, Jennifer Coughlan, Jessica Streets, Philippa L. Jacob, Oska Pugh, Ender Özcan, Simon Woodward   +7 more
doaj   +1 more source

Machine Learning at Microsoft with ML.NET [PDF]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Machine Learning is transitioning from an art and science into a technology available to every developer. In the near future, every application on every platform will incorporate trained models to encode data-based decisions that would be impossible for developers to author.
Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko, Rogan Carr, Wei-Sheng Chin, Yael Dekel, Xavier Dupré, Vadim Eksarevskiy, Eric Erhardt, Costin Eseanu, Senja Filipi, Tom Finley, Abhishek Goswami, Monte Hoover, Scott Inglis, Matteo Interlandi, Shon Katzenberger, Najeeb Kazmi, Gleb Krivosheev, Pete Luferenko, Ivan Matantsev, Sergiy Matusevych, Shahab Moradi, Gani Nazirov, Justin Ormont, Gal Oshri, Artidoro Pagnoni, Jignesh Parmar, Prabhat Roy, Sarthak Shah, Mohammad Zeeshan Siddiqui, Markus Weimer, Shauheen Zahirazami, Yiwen Zhu   +33 more
openaire   +4 more sources

Contrasting Explain-ML with Interpretability Machine Learning Tools in Light of Interactive Machine Learning Principles

Journal on Interactive Systems, 2022
The way Complex Machine Learning (ML) models generate their results is not fully understood, including by very knowledgeable users. If users cannot interpret or trust the predictions generated by the model, they will not use them.
Bárbara Gabrielle C. O. Lopes, Liziane Santos Soares, Raquel Oliveira Prates, Marcos André Gonçalves   +3 more
doaj   +1 more source

Stock Market Prediction Using Machine Learning(ML)Algorithms

Advances in Distributed Computing and Artificial Intelligence Journal, 2020
Stocks are possibly the most popular financial instrument invented for building wealth and are the centerpiece of any investment portfolio. The advances in trading technology has opened up the markets so that nowadays nearly anybody can own stocks.
Muhammad UMER, Muhammad AWAIS, Muhammad MUZAMMUL   +2 more
doaj   +1 more source

Explainable Mental Health Chat Support using MKO-DEBiGRU with Knowledge Graph and SHAP [PDF]

ITM Web of Conferences
Recently, mental health chat support has become increasingly important for providing timely assistance and guidance to users seeking psychological assistance.
Nagarathna P., Thalla Srujana, Patil Sujata, Reddy K Phanindra   +3 more
doaj   +1 more source

LoRaWAN Meets ML: A Survey on Enhancing Performance with Machine Learning

Sensors, 2023
The Internet of Things is rapidly growing with the demand for low-power, long-range wireless communication technologies. Long Range Wide Area Network (LoRaWAN) is one such technology that has gained significant attention in recent years due to its ...
Arshad Farhad, Jae-Young Pyun
doaj   +1 more source

ML Confidential: Machine Learning on Encrypted Data [PDF]

, 2013
We demonstrate that by using a recently proposed somewhat homomorphic encryption (SHE) scheme it is possible to delegate the execution of a machine learning (ML) algorithm to a compute service while retaining confidentiality of the training and test data.
Graepel, T., Lauter, K., Naehrig, M.
openaire   +3 more sources

Optimizing Distributed Energy Storage Deployment in Smart Grids for Enhanced Grid Performance and Energy Management [PDF]

E3S Web of Conferences
Large-scale hydroelectric is the most mature kind of energy storage, but medium- and small-scale plants are used widely with renewable energy sources that are likely to be integrated in the next generation electrical distribution system or smart grid ...
Reddy K. Jyothsna, G Veeresh, Kansal Lavish, Sharma Saurabh, Al-Rubaye Taqi, Arun Vanya   +5 more
doaj   +1 more source

How Machine Learning (ML) is Transforming Higher Education: A Systematic Literature Review [PDF]

, 2023
In the last decade, artificial intelligence (AI), machine learning (ML) and learning data analytics have been introduced with great effect in the field of higher education. However, despite the potential benefits for higher education institutions (HIE´s)
Eusébio Costa, Costa, Eusébio, Pinto, Agostinho Sousa, Abreu, António, Agostinho Sousa Pinto, Paiva, Jerónimo, António Abreu, Jerónimo Paiva   +7 more
core   +1 more source

Multilayer Fisher extreme learning machine for classification

Complex & Intelligent Systems, 2022
As a special deep learning algorithm, the multilayer extreme learning machine (ML-ELM) has been extensively studied to solve practical problems in recent years.
Jie Lai, Xiaodan Wang, Qian Xiang, Jian Wang, Lei Lei   +4 more
doaj   +1 more source