Machine Learning and Algorithms

Über Machine Learning and Algorithms

This cluster of papers revolves around the topic of active learning in machine learning research. It covers various aspects such as semi-supervised learning, deep learning, Gaussian processes, image classification, text categorization, batch mode active learning, statistical guarantees, and human-in-the-loop approaches.

Schlagwörter

Active Learning Machine Learning Semi-supervised Learning Deep Learning Gaussian Processes Image Classification Text Categorization Batch Mode Statistical Guarantees Human-in-the-loop

Entwicklung im Zeitverlauf