Buch, Englisch, 114 Seiten, Paperback, Format (B × H): 187 mm x 235 mm
Reihe: Synthesis Lectures on Artificial Intelligence and Machine Learning
Buch, Englisch, 114 Seiten, Paperback, Format (B × H): 187 mm x 235 mm
Reihe: Synthesis Lectures on Artificial Intelligence and Machine Learning
ISBN: 978-1-60845-725-0
Verlag: MORGAN & CLAYPOOL
This book is a general introduction to active learning. It outlines several scenarios in which queries might be formulated, and details many query selection algorithms which have been organized into four broad categories, or ""query selection frameworks."" We also touch on some of the theoretical foundations of active learning, and conclude with an overview of the strengths and weaknesses of these approaches in practice, including a summary of ongoing work to address these open challenges and opportunities.
Autoren/Hrsg.
Weitere Infos & Material
- Automating Inquiry
- Uncertainty Sampling
- Searching Through the Hypothesis Space
- Minimizing Expected Error and Variance
- Exploiting Structure in Data
- Theory
- Practical Considerations