The NIPS '17 Competition: Building Intelligent Systems

This book summarizes the organized competitions held during the first NIPS competition track. It provides both theory and applications of hot topics in machine learning, such as adversarial learning, conversational intelligence, and deep reinforcement learning.Rigorous competition evaluation was bas...

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Bibliographic Details
Main Authors Escalera, Sergio, Weimer, Markus
Format eBook
LanguageEnglish
Published Cham Springer International Publishing 28.09.2018
Springer
Edition1st ed. 2018.
SeriesThe Springer Series on Challenges in Machine Learning
Subjects
Artificial Intelligence
Computer Science
Image Processing and Computer Vision
Pattern Recognition
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Summary:This book summarizes the organized competitions held during the first NIPS competition track. It provides both theory and applications of hot topics in machine learning, such as adversarial learning, conversational intelligence, and deep reinforcement learning.Rigorous competition evaluation was based on the quality of data, problem interest and impact, promoting the design of new models, and a proper schedule and management procedure. This book contains the chapters from organizers on competition design and from top-ranked participants on their proposed solutions for the five accepted competitions: The Conversational Intelligence Challenge, Classifying Clinically Actionable Genetic Mutations, Learning to Run, Human-Computer Question Answering Competition, and Adversarial Attacks and Defenses.
ISBN:3319940414
9783319940410
ISSN:2520-131X
2520-1328
DOI:10.1007/978-3-319-94042-7