These issues have induced researchers toward the development and application of Learning-by-Examples (LBE) techniques thanks to their extremely high computational efficiency and to their capability to emulate the behavior of complex systems on the basis of a set of collected examples. In this ...
In the framework of the electromagnetic approaches based on learning-by-example (LBE) techniques, this thesis focuses on the development of a strategy for the solution of complex problems by means of support vector machine (SVM). The pro... F Viani - 《University of Trento》 被引量: 0发表...
During learning b\ working problems, the progiam generates its own example trace b\ problem solving and uses the same example learning techniques. 展开 会议名称: Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1 ...
Meta learning, also known as “learning to learn”, is a subset of machine learning in computer science. It is used to improve the results and performance of a learning algorithm by changing some aspects of the learning algorithm based on experiment results. Meta learning helps researchers unders...
Active Learning Techniques for Librarians: Practical Examples. Andrew Walsh and Padma Inala. Chandos Information Professional Series. Oxford: Chandos, 2010. 146p. Paper $75 (ISBN 978-1-84334-592-3). Active learning engages participants in their own learning while giving instructors an alternative ...
Visual learners understand best when they can see the information. There are several visual learning style techniques and strategies.
Live classes, seminars, and workshops are still popular training techniques, but online learning can become a better fit for employees as it paves the way for just-in-time learning. Access to content “anytime, anywhere” is exactly what a modern learner needs, especially if it’s not a ...
Learning curve theory provides a formula to calculate and measure improvement in task completion or skill over time. Learn more now!
Academic and industry researchers and data scientists rely on the flexibility of the NVIDIA platform to prototype, explore, train and deploy a wide variety of deep neural networks architectures using GPU-accelerated deep learning frameworks such as MXNet, Pytorch, TensorFlow, and inference optimizers ...
Discover how to integrate gamification in elearning with examples and tips. Learn to use stories, challenges, and rewards to make learning engaging and effective.