IEEE

Improved Q-Learning Algorithm Based on Flower Pollination Algorithm and Tabulation Method for Unmanned Aerial Vehicle Path Planning

Abstract: Planning a path is crucial for safe and efficient Unmanned aerial vehicle flights, especially in complex environments. While the Q-learning algorithm in reinforcement learning performs ...
GitHub

TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling" (ICLR 2025)

This is the official repository of the paper "TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling". It consists of two parts: One dot represents a performance score on one ...
IEEE

TSDCG: Tabular Synthetic Data with Code Generation LLMs

Abstract: In the past years, there has been significant research on generating synthetic data, especially using Generative AI. Data engineering and analysis play crucial roles for any business in the ...
Microsoft

Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data

Differentially private (DP) synthetic data sets are a solution for sharing data while preserving the privacy of individual data providers. Understanding the effects of utilizing DP synthetic data in ...
Journal of Medical Internet Research

Sample Size Requirements for Popular Classification Algorithms in Tabular Clinical Data: Empirical Study

Sample Size Requirements for Popular Classification Algorithms in Tabular Clinical Data: Empirical Study Scott Silvey 1 ; Jinze Liu 1 Article Authors Cited by (13) Tweetations Metrics ...