The Hidden Algorithms Of The Natural World

Every organism you have ever seen, every ecosystem you have ever walked through, is the ongoing output of an algorithm that ...

Researchers automated LLM reasoning strategy design and cut token usage by 69.5%

Researchers from Meta and Google built AutoTTS to automatically discover optimal LLM reasoning strategies, cutting token ...
Devdiscourse

Banks could strengthen credit card fraud screening with ensemble machine learning model

Read more about Banks could strengthen credit card fraud screening with ensemble machine learning model on Devdiscourse ...
eLife

High-frequency spike inference with particle Gibbs sampling

A Bayesian particle Gibbs framework enables unbiased spike time inference with millisecond resolution and jointly estimates uncertainties in both spike timing and model parameters from fast calcium ...
IEEE

A Novel Evolutionary Bayesian Optimization Algorithm Based on Decomposition for Expensive Constrained Multiobjective Optimization Problems

Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...
Scientific Research Publishing

Snoek, J., Larochelle, H. and Adams, R.P. (2012) Practical Bayesian Optimization of Machine Learning Algorithms. Advances in Neural Information Processing Systems, Vol. 5, 2951 ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
Kaleido Scope

Understanding social media algorithms: 101 for parents

But the real question is: connected to what? Parker Woodroof, Ph.D., a social media expert and associate professor of marketing at the Collat School of Business at the University of Alabama at ...
Frontiers

Pruning Bayesian networks for computationally tractable multi-model calibration

Anomaly response in aerospace systems increasingly relies on multi-model analysis in digital twins to replicate the system’s behaviors and inform decisions. However, computer model calibration methods ...