Yann LeCun addresses a speech as he attends the World Economic Forum (WEF) annual meeting in Davos on January 23, 2025. FABRICE COFFRINI/Getty Images Yann LeCun's $1.03 billion bet on world models as ...
Qin, B. (2026) Fermi Gamma-Ray Burst Classification Based on a Convolutional Autoencoder. International Journal of Astronomy ...
Existing image processing and target recognition algorithms have limitations in complex underwater environments and dynamic changes, making it difficult to ensure real-time and precision. Multiple ...
Abstract: In this article, we study the problem where a group of agents aims to collaboratively learn a common static latent function through streaming data. We propose a lightweight distributed ...
The package implements 86 variants of the Synthetic Minority Oversampling Technique (SMOTE). Besides the implementations, an easy to use model selection framework is supplied to enable the rapid ...
Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.
Most of the latest studies on detection models for DoS or DDoS have been applied in general networks. Therefore, no dataset of DoS or DDoS in electric vehicle (EV) charging infrastructure exists. In ...
A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the price of a house based on its square footage, age, number of bedrooms and ...
Introduction: The application of intelligent learning methods to the mining of characteristics and rules of time-series data has gained increasing attention with the rapid development of deep learning ...
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