Duke Pratt School of Engineering

Mapping Behavior with Machine Learning

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
GitHub

Fuzzy Equivalence–Driven Feature Selection with Constrained Sigmoid Similarity for Interpretable Supervised Learning

The code includes the core methodology, experimental results generation, and the script used to produce Table 4 from the manuscript. The framework is designed to be label-agnostic during similarity ...
IEEE

Precision-Specific Efficient Designs and FPGA Implementation of Sigmoid for Machine Learning

Abstract: This paper presents a low-complexity design for generating the sigmoid function based on a novel piecewise linear approximation. We have proposed an iterative algorithm to break the whole ...
IEEE

Sigmoid-Function-Based Feedback Linearization Random Selection Control for Cascaded H-Bridge Multilevel Inverters

Abstract: To improve the steady-state and dynamic performance of cascaded H-bridge multilevel inverters (CHBMIs) and achieve power balance, this paper proposes a control method based on the sigmoid ...
Hosted on MSN

Learning functions made easy

Is this the end for Vladimir Putin? Drone footage shows captured Russian vessel anchored off the coast of Scotland Freddie Mercury’s ‘secret daughter’ passes away aged 48, leaving two young sons They ...