main webpage
W Topic
Machine Learning
HAL (Le Centre pour la Communication Scientifique Directe)
Learning the parameters of possibilistic networks from data: Empirical comparison
2017
International audience
Article

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.

Exploring foci of:
HAL (Le Centre pour la Communication Scientifique Directe)
Learning the parameters of possibilistic networks from data: Empirical comparison
2017
International audience
Click Machine Learning Vs:
Computer Science
Artificial Intelligence
Data Mining
Programming Language
Philosophy