TMCnet

MicroCloud Hologram Inc. Develops Approximate Quantum State Preparation and Entanglement-Dependent Complexity Algorithm Technology

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...
JD Supra

EU Commission draft guidelines on classification of "high-risk" AI systems: Key points

The European Commission recently published its long-awaited draft guidelines on the classification of “high-risk” artificial intelligence (AI) ...
Nature

Traditional cloud pattern classification algorithm based on semi-supervision with Random Line Augment

The classification of traditional patterns is of great significance for their digital protection. Most studies focus on classifying patterns of different categories, while this study addresses the ...
Scientific Research Publishing

Sen, P.C., Hajra, M. and Ghosh, M. (2019) Supervised Classification Algorithms in Machine Learning: A Survey and Review. In: Mandal, J.K. and Bhattacharya, D., Eds., Emerging ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...
Scientific Research Publishing

Lessmann, S., et al. (2015) Benchmarking State-of-the-Art Classification Algorithms for Credit Scoring. Journal of the Operational Research Society, 66, 743-755.

ABSTRACT: This paper presents a comprehensive machine learning approach for credit score classification, addressing key challenges in financial risk assessment. We propose an optimized CatBoost-based ...
LinkedIn

Classification Algorithms in Machine Learning

Classification is one of the most fundamental tasks in machine learning, where the goal is to predict the category or class of a given input based on its features. Classification algorithms are widely ...
IEEE

Fusion Analysis of EEG-fNIRS Multimodal Brain Signals: A Multitask Classification Algorithm Incorporating Spatial-Temporal Convolution and Dual Attention Mechanisms

Abstract: Brain–computer interface (BCI) is an important way of human-computer interaction, with the ability to monitor brain states, and it has become an increasingly significant research direction.
The New York Times

An Algorithm Told Police She Was Safe. Then Her Husband Killed Her.

Adam Satariano and Roser Toll Pifarre interviewed more than 50 victims, families, police, government officials and other experts about Spain’s gender violence program. In a small apartment outside ...
LinkedIn

Classification and clustering algorithms

Unveiling Insights with Classification and Clustering Algorithms in Data Analysis In the intricate landscape of data analysis, classification and clustering algorithms serve as indispensable tools for ...
Nature

Improved random forest classification model combined with C5.0 algorithm for vegetation feature analysis in non-agricultural environments

In response to the challenges posed by the high computational complexity and suboptimal classification performance of traditional random forest algorithms when dealing with high-dimensional and noisy ...
IEEE

A Modulation Classification Algorithm Based on Feature-Embedding Graph Convolutional Network

Abstract: Deep-learning is widely used in modulation classification to reduce labor and improve the efficiency. Graph convolutional network (GCN) is a type of feature extraction network for graph data ...