X admits its broken algorithm made the site feel like a ‘battleground’

X’s head of product, Nikita Bier, admitted in a post on Monday that X’s algorithm was “missing” data about surfacing posts ...

X's algorithm will finally prioritize replies from people you already follow

X is rolling out a "small tweak" to boost the visibility of your posts and replies to your mutuals, or people who you follow ...

Google's TabFM skips per-dataset training and still predicts on tables it's never seen

Google's TabFM skips per-dataset training and still predicts on unseen tables, matching tuned baselines and cutting pipeline ...
VentureBeat

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

The deep learning revolution has a curious blind spot: the spreadsheet. While Large Language Models (LLMs) have mastered the nuances of human prose and image generators have conquered the digital ...
GitHub

Explain XGBoost models with the Hoeffding functional decomposition.

treehfd is a Python module to compute the Hoeffding functional decomposition of XGBoost models (Chen and Guestrin, 2016) with dependent input variables, using the TreeHFD algorithm. This decomposition ...
IEEE

An XGBoost-SHAP Model for Energy Demand Prediction With Boruta–Lasso Feature Selection

Abstract: Energy demand prediction is essential in ensuring national energy security, promoting high-quality economic development, advancing sustainable development, optimizing the energy structure, ...
Frontiers

Handling missing data of using the XGBoost-based multiple imputation by chained equations regression method

This study introduces an XGBoost-MICE (Multiple Imputation by Chained Equations) method for addressing missing data in mine ventilation parameters. Using historical ventilation system data from ...
IEEE

Research of Extreme Gradient Enhancement in Fault Prediction of Smart Distribution Networks

Abstract: This article introduces the application of Extreme Gradient Boost (XGBoost) in intelligent distribution network fault prediction. Firstly, the principle and model structure of XGBoost were ...