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Spin as an input parameter: Machine learning predicts magnetic properties of materials
Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...
Scientific Research Publishing20h
Machine Learning-Based Outlier Detection in Long-Term Climate Data: Evidence from Burkina Faso’s Synoptic Network ()
Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...
IEEE5d
Semisupervised Incremental Support Vector Machine Learning Based on Neighborhood Kernel Estimation - IEEE Xplore
Semisupervised scheme has emerged as a popular strategy in the machine learning community due to the expensiveness of getting enough labeled data. In this paper, a semisupervised incremental support ...
IEEE16d
Extreme Learning Machine for Regression and Multiclass Classification - IEEE Xplore
Due to the simplicity of their implementations, least square support vector machine (LS-SVM) and proximal support vector machine (PSVM) have been widely used in binary classification applications. The ...
Microsoft16d
Pattern Recognition and Machine Learning - Microsoft Research
This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...