Abstract: Constraints from the external environment and personal experiences may hinder decision makers from offering complete fuzzy preference relations in situations of group decision making.
Abstract: Fuzzy classification models are important for handling uncertainty and heterogeneity in high-dimensional data. Although recent fuzzy logistic regression approaches have demonstrated ...
Objectives The role of the triglyceride–glucose body mass index (TyG-BMI) in glycaemic state transitions among individuals with pre-diabetes remains unclear. This study explores the association ...
EAGLE (Extrapolation Algorithm for Greater Language-model Efficiency) is a new baseline for fast decoding of Large Language Models (LLMs) with provable performance maintenance. This approach involves ...
If you like D-FINE, please give us a ⭐! Your support motivates us to keep improving! D-FINE is a powerful real-time object detector that redefines the bounding box regression task in DETRs as ...
Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...
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