Ranks of Disparity: New approach fixes flaw in fairness algorithms

As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, a new ...
EurekAlert!

New approach fixes flaw in fairness algorithms – now visualized in interactive story

As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, ...
ahajournals.org

Abstract 4360332: Impact of adherence to the global algorithm for initial crossing strategy selection in chronic total occlusion percutaneous coronary intervention

Background: The effect of selecting the initial crossing strategy using the global chronic total occlusion (CTO) crossing algorithm on the outcomes of CTO percutaneous coronary intervention (PCI) has ...
GitHub

A scikit-learn compatible implementation of the Adaptive Lasso algorithm for feature selection and regression.

Adaptive Lasso is an extension of the standard Lasso method that provides improved feature selection properties through weighted L1 penalties. It assigns different weights to different coefficients in ...
marktechpost

Google AI Introduces PlanGEN: A Multi-Agent AI Framework Designed to Enhance Planning and Reasoning in LLMs through Constraint-Guided Iterative Verification and Adaptive ...

Large language models have made remarkable strides in natural language processing, yet they still encounter difficulties when addressing complex planning and reasoning tasks. Traditional methods often ...
Scientific Research Publishing

Raschka, S. (2018) Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning. arXiv: 1811.12808

ABSTRACT: Background: Chronic pain management presents significant challenges in clinical practice, particularly in selecting pharmacological treatments that balance efficacy and safety. GABAergic and ...