Abstract: Probabilistic modeling is a core challenge in statistical machine learning. Tensor-based probabilistic graph methods address interpretability and stability concerns encountered in neural ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

(HealthDay News) — An image-only artificial intelligence (AI) model is more precise than breast density for predicting the five-year risk for breast cancer, according to a study presented at the ...

An image-only artificial intelligence (AI) model for predicting the five-year risk of breast cancer provided stronger and more precise risk stratification than breast density assessment, according to ...

ABSTRACT: This work describes a data integration model using the Statistical Matching methodology (hot deck distance) to integrate two surveys conducted by ISTAT (EU-SILC) and the Bank of Italy ...

Objectives: To analyse stroke rate (SR) and stroke length (SL) combinations among elite swimmers to better understand stroke strategies across all race distances of freestyle events. Design: We ...

Abstract: This paper introduces a statistical analysis method for electromagnetic sensitivity based on kernel density estimation and Gaussian Copula modeling. We address a critical limitation in ...

A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...

When running analysis using the atomtype densities, if there is no match for the specified smarts a warning should be raised and maybe fall back to the standard density estimation. Currently generates ...

Now this 'thread' object only contains the response of qna_agent but is missing the invocation and response Details of Sub-Agent Kernel Functions. Is there a way to access underlying tool calls from ...