Name: Active Learning (en Inglés)
SKU: 56768490
Price: 116297.00 COP
Availability: InStock
Author: Settles, Burr
ISBN: 9783031004322

Formato

Libro Físico

Autor

Burr Settles

Editorial

Springer

Idioma

Inglés

N° páginas

100

Encuadernación

Tapa Blanda

Dimensiones

23.5x19.1x0.6 cm

Peso

0.21 kg.

ISBN13

9783031004322

Categorías

Probabilidad y estadística
Matemáticas aplicadas
Inteligencia artificial

Active Learning (en Inglés)

Burr Settles (Autor) · Springer · Tapa Blanda

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Reseña del libro "Active Learning (en Inglés)"

The key idea behind active learning is that a machine learning algorithm can perform better with less training if it is allowed to choose the data from which it learns. An active learner may pose "queries," usually in the form of unlabeled data instances to be labeled by an "oracle" (e.g., a human annotator) that already understands the nature of the problem. This sort of approach is well-motivated in many modern machine learning and data mining applications, where unlabeled data may be abundant or easy to come by, but training labels are difficult, time-consuming, or expensive to obtain. 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. Table of Contents: Automating Inquiry / Uncertainty Sampling / Searching Through the Hypothesis Space / Minimizing Expected Error and Variance / Exploiting Structure in Data / Theory / Practical Considerations