IEEE

Adaptive Weighted Double Uncertainty Incrementally Active Learning for Multi-class Imbalanced Data

Abstract: Active learning can effectively reduce the cost of labeling while enhancing model classification performance. However, prior studies have indicated that imbalanced class distributions ...
Learn With Jay on MSN

Python neural network for multiclass classification using softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...
TipRanks on MSN

Classover shareholders approve redomestication and reverse split

Classover Holdings ( ($KIDZ) ) has issued an announcement. Classover Holdings’ stockholders convened for a special meeting on December 22, 2025, ...
The Malaysian Reserve

WiMi Releases Next-Generation Hybrid Quantum Neural Network Structure Technology, Breaking Through the Bottleneck of Image Multi-Classification

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ...
IEEE

Multi-Class Hierarchical Random Networks for Consensus-Based Information Filter

Abstract: This study proposes a general multi-class hierarchical random network with an arbitrary number of agents and an arbitrary connecting success probability to analyze the minimum communication ...