Microsoft’s data lakes meet the industrial internet of things, helping you create complex models with data from multiple ...

This code example demonstrates how to run through the ModusToolbox™ machine learning (ModusToolbox™-ML) development flow with PSoC™ 6 MCU ... By default, the project uses testing data stored in the ...

The MNIST hand-written digits data is used to demonstrate that combinatorial coverage can be used to select test sets that stress machine learning model performance, to select training sets that lead ...

The experimental results demonstrated that the use of the AdaBoost algorithm from machine learning for the mobile ultrasonic ... was utilized to test and collect flow velocity data, with a precision ...

Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom Cambridge Centre for Advanced Research and Education in Singapore, CARES Ltd., 1 CREATE ...

Makani (the Hawaiian word for wind 🍃🌺) is an experimental library designed to enable the research and development of machine-learning ... training ├── tests # test files └── README.md # this file ...

As semiconductor complexity grows, structural testing becomes increasingly challenging, necessitating high-bandwidth test data interfaces for at-speed ... calibration, or training sequence. The ...

Microsoft's Azure Machine Learning service sits at the heart of this transformation. Designed to support the entire machine learning lifecycle -- from data ingestion and model training to deployment .

Abstract: Machine learning (ML ... We propose a SAT-based approach for learning optimal BDDs that exhibit perfect accuracy on training data. We also explore heuristic methods for computing suboptimal ...