BIOENGINEER

Bayesian Framework Merges Clinical Expertise With Machine Learning Diagnosis

A new Bayesian framework called PIML combines machine learning analysis of electrical impedance signals with clinical prior ...
Visual Studio Magazine

Tsetlin Machine Binary Classification Using C#

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
BIOENGINEER

Fuzzy inference improves Parkinson’s voice classification in two-dataset benchmark

A benchmark study combining entropy-guided partitioning, machine learning and fuzzy inference improved voice-based ...

[G-Certification Day 8] What is Supervised Learning in AI? Linear Regression, SVM, and Decision Trees

Hello everyone, stay safe!! This is Takachan the engineer.AI that identifies spam, AI that predicts sales, AI that ...

Meet Amin: Applying artificial intelligence to complex problems in digital media, finance and enterprise analytics

Amin's research applies AI and machine learning especially multimodal, text, unsupervised, and graph-based methods to turn complex social-media, financial, organizational, e-commerce, database, and ...