IEEE

Federated Function-on-function Regression with an Efficient Gradient Boosting Algorithm for Privacy-Preserving Telemedicine

Abstract: Federated Learning (FL) is an emerging computing paradigm to collaboratively train Machine Learning (ML) models across multi-source data while preserving privacy. The major challenge of ...
C&EN

A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The accurate treatment of many-unpaired-electron systems remains a central challenge ...
Medscape

Thyroid Function Test Algorithm Cuts Overuse, Costs

ORLANDO, Fla. — Steering clinicians toward a cascade approach for thyroid function testing cut unnecessary orders by a monthly average of 15% and concurrent orders by 19% per month, according to ...
Ars Technica

Tesla odometer uses “predictive algorithms” to void warranty, lawsuit claims

Tesla is facing a new scandal that once again sees the electric automaker accused of misleading customers. In the past, it has been caught making “misleading statements” about the safety of its ...
Scientific Research Publishing

Attouch, H. and Bolte, J. (2007) On the Convergence of the Proximal Algorithm for Nonsmooth Functions Involving Analytic Features. Mathematical Programming, 116, 5-16.

ABSTRACT: The alternating direction method of multipliers (ADMM) and its symmetric version are efficient for minimizing two-block separable problems with linear constraints. However, both ADMM and ...
findnerd.com

jQuery Callback Functions

Callback function is a function which is executed after the current function (i.e the currently running function) has been executed. As the name signifies Callback function is called back at some ...
Scientific Research Publishing

Eschmann, J. (2021) Reward Function Design in Reinforcement Learning. In: Belousov, B., Abdulsamad, H., Klink, P., Parisi, S. and Peters, J., Eds., Reinforcement Learning ...

ABSTRACT: The integration of artificial intelligence into the development and production of mechatronic products offers a substantial opportunity to enhance efficiency, adaptability, and system ...
marktechpost

Google Researchers Propose a Formal Boosting Machine Learning Algorithm for Any Loss Function Whose Set of Discontinuities has Zero Lebesgue Measure

As a very effective machine learning ML-born optimization setting, boosting requires one to efficiently learn arbitrarily good models using a weak learner oracle, which provides classifiers that ...