main webpage W Topic Machine Learning arXiv (Cornell University) Data-Efficient Low-Complexity Acoustic Scene Classification via Distilling and Progressive Pruning 2024 The goal of the acoustic scene classification (ASC) task is to classify recordings into one of the predefined acoustic scene classes. However, in real-world scenarios, ASC systems often encounter challenges such as recording device mismatch, low-complexity co… Article Open Machine Learning Open Article Page

Machine Learning

Study of algorithms that improve automatically through experience Machine learning ( ML ) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalise to unseen data, and thus perform tasks without explicit instructions. Within a subdiscipline in machine learning, advances in the field of deep learning have allowed neural networks, a class of statistical algorithms, to surpass many previous machine learning approaches in performance. ML finds application in many fields, including natural language processing, computer vision, speech recognition, email filtering, agriculture, and medicine. The application of ML to business problems is known as predictive analytics. Critical Symbolic Virtual Narrative Open Machine Learning Open Article Page

Exploring foci of: arXiv (Cornell University) Data-Efficient Low-Complexity Acoustic Scene Classification via Distilling and Progressive Pruning 2024 The goal of the acoustic scene classification (ASC) task is to classify recordings into one of the predefined acoustic scene classes. However, in real-world scenarios, ASC systems often encounter challenges such as recording device mismatch, low-complexity constraints, and the limited availability of labeled data. To alleviate these issues, in this paper, a data-efficient and low-complexity ASC system is built with a new model architecture and better training strategies. Specifically, we firstly design a new low-c… Open Article Page

Click Machine Learning Vs: Pruning Computer Science Artificial Intelligence Horticulture Biology Open Article Page

Explore Machine Learning W Topic Machine Learning arXiv (Cornell University) Data-Efficient Low-Complexity Acoustic Scene Classification via Distilling and Progressive Pruning 2024 The goal of the acoustic scene classification (ASC) task is to classify recordings into one of the predefined acoustic scene classes. However, in real-world scenarios, ASC systems often encounter challenges such as recording device mismatch, low-complexity co… Article Critical Symbolic Virtual Narrative Open Machine Learning Open Article Page