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Adaptive Partitioning: Examining Convergence Rates of Multivariate Density Estimation Methods

by instadatahelp | Aug 27, 2023 | AI Blogs

Convergence Rates of Multivariate Density Estimation Methods Based on Adaptive Partitioning Authors: Linxi Liu, Dangna Li, Wing Hung Wong; 24(50):1−64, 2023. Abstract Density estimation is a fundamental component of various statistical methods, including...
A Comprehensive Evaluation of Gender Inference from Names: Findings from a Large-Scale Performance Study (arXiv:2308.12381v1 [cs.CL])

A Comprehensive Evaluation of Gender Inference from Names: Findings from a Large-Scale Performance Study (arXiv:2308.12381v1 [cs.CL])

by instadatahelp | Aug 27, 2023 | AI Blogs

Research across various scientific disciplines, including medicine, sociology, political science, and economics, heavily relies on a person’s gender as a crucial piece of information. However, with the increasing availability of big data, gender information is...
Creating Enterprise Search AI Applications with Haystack Pipelines and Amazon SageMaker JumpStart: Harness the Power of LLMs

Creating Enterprise Search AI Applications with Haystack Pipelines and Amazon SageMaker JumpStart: Harness the Power of LLMs

by instadatahelp | Aug 27, 2023 | AI Blogs

This blog post is a collaboration between the author and Tuana Çelik from deepset, focusing on the importance of enterprise search in document digitization and knowledge management. The post introduces the concept of large language models (LLMs) and how they can be...

Contraction of the Posterior with Deep Gaussian Process Priors

by instadatahelp | Aug 27, 2023 | AI Blogs

Posterior Contraction for Deep Gaussian Process Priors Gianluca Finocchio, Johannes Schmidt-Hieber; 24(66):1−49, 2023. Abstract This study examines the rates of posterior contraction for a class of deep Gaussian process priors in the nonparametric regression setting,...
A Comprehensive Evaluation of Gender Inference from Names: Findings from a Large-Scale Performance Study (arXiv:2308.12381v1 [cs.CL])

Improving Open-set Face Recognition through Neural Ensemble, Maximal Entropy Loss, and Feature Augmentation

by instadatahelp | Aug 26, 2023 | AI Blogs

[Submitted on 23 Aug 2023] Click here to download a PDF of the paper titled “Open-set Face Recognition with Neural Ensemble, Maximal Entropy Loss and Feature Augmentation” by Rafael Henrique Vareto, Manuel Günther, and William Robson Schwartz. Download PDF...
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