Designing Data Centers for Next-Gen Language Models” was published by Intel Corporation and Georgia Tech. An excerpt from the ...

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 ...

Keerthi, S.S. (2002) Efficient Tuning of SVM Hyperparameters Using Radius/Margin Bound and Iterative Algorithms. IEEE Transactions on Neural Networks, 13, 1225-1229.

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 ...

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 ...

Machine-learning model can reliably predict cognitive performance based on lifestyle indicators by Diana Yates, University of Illinois at Urbana-Champaign edited by Gaby Clark, reviewed by Andrew ...