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 is teaching its AI algorithm something social networks once understood

X is boosting posts among mutual followers after finding that relationship data was missing from its algorithm, exposing the gap between predicting engagement and creating conversations people ...

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, ...
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 ...
Scientific Research Publishing

Stock Type Prediction Based on Multiple Machine Learning Methods ()

Stocks in the Chinese stock market can be divided into ST stocks and normal stocks, so to prevent investors from buying potential ST stocks, this paper first performs SMOTEENN oversampling data ...