WinBuzzer

DeepSeek Reveals R1 Model Architecture Secrets Ahead of V4 Model Launch

DeepSeek has expanded its R1 whitepaper by 60 pages to disclose training secrets, clearing the path for a rumored V4 coding ...
Scientific Research Publishing

Inflation-Growth Relationship in SADC Countries: Evidence from Dynamic Panel Threshold Models ()

This study re-examines the non-linear relationship between inflation and economic growth in Southern African Development ...
IEEE

Decentralized Kernel Ridge Regression Based on Data-Dependent Random Feature

Abstract: Random feature (RF) has been widely used for node consistency in decentralized kernel ridge regression (KRR). Currently, the consistency is guaranteed by imposing constraints on coefficients ...
IEEE

A Development of Fuzzy-Rule-Based Regression Models Through Using Decision Trees

Abstract: This article presents a design and realization of fuzzy rule-based regression models based on standard decision trees. A two-phase design of rule-based model is offered in this study to ...
GitHub

D-FINE: Redefine Regression Task of DETRs as Fine‑grained Distribution Refinement

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 ...
GitHub

AKDE: Multivariate Adaptive Kernel Density Estimation Using Gaussian Mixture Model

AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...