GitHub

as-lesson-1-create-a-new-tabular-model-project.md

[!INCLUDE[appliesto-sql2019-later-aas-pbip](../includes/appliesto-sql2019-later-aas-pbip.md)] In this lesson, you use Visual Studio with Microsoft Analysis Services ...
GitHub

introduction-to-the-tabular-object-model-tom-in-analysis-services-amo.md

Learn about the Tabular Object Model (TOM), which supports programming for tabular models created at compatibility level 1200 and higher. The Tabular Object Model (TOM) is an extension of the Analysis ...
marktechpost

This AI Paper Explores How Large Language Model Embeddings Enhance Adaptability in Predictive Modeling for Shifting Tabular Data Environments

Machine learning for predictive modeling aims to forecast outcomes based on input data accurately. One of the primary challenges in this field is “domain adaptation,” which addresses differences ...
IEEE

Do more with less: Architecture-agnostic and data-free extraction attack against tabular model

Abstract: In recent years, numerous model extraction attacks have been proposed to investigate the potential vulnerabilities of tabular models. However, applying these attacks in real-world scenarios ...
EurekAlert!

New AI model TabPFN enables faster and more accurate predictions on small tabular data sets

Filling gaps in data sets or identifying outliers – that’s the domain of the machine learning algorithm TabPFN, developed by a team led by Prof. Dr. Frank Hutter from the University of Freiburg. This ...
Science Daily

New AI model TabPFN enables faster and more accurate predictions on small tabular data sets

A team has developed a new method that facilitates and improves predictions of tabular data, especially for small data sets with fewer than 10,000 data points. The new AI model TabPFN is trained on ...