Abstract: The problem of data privacy protection in the information age deserves people’s attention. As a distributed machine learning technology, federated learning can effectively solve the problem ...

Abstract: Machine learning techniques for personality analysis have been exploited as a key method in the education, mental health and human resource management fields. In this project, I develop such ...

Carney shares details of Trump call over Canada-Michigan bridge spat The US bond market is suddenly flashing a warning sign about the economy Archaeologists discovered hidden messages in the likely ...

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

In 47 career starts, Marie Martorella has yet to commit an error behind the dish in three years for the Santa Clara University softball team. The senior, who ...

Dear Dr. Roach: In a recent column, you noted that many patients do not properly use their inhaled asthma/chronic obstructive pulmonary disease (COPD) medications, but you didn't tell us how to ...

In case you've faced some hurdles solving the clue, Repetitive technique for learning, we've got the answer for you. Crossword puzzles offer a fantastic opportunity to engage your mind, enjoy leisure ...

Posterior cruciate ligament (PCL) injury present a significant challenge in knee surgery. They often occur in high-energy events and can lead to chronic instability if not properly managed. Over the ...

A research team led by Professor Sang-hyun Park of the Department of Robotics and Mechatronics Engineering at DGIST (President Kunwoo Lee), together with researchers from Stanford University in the ...

In a new paper, researchers from Tencent AI Lab Seattle and the University of Maryland, College Park, present a reinforcement learning technique that enables large language models (LLMs) to utilize ...

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...