The NIPS '17 Competition: Building Intelligent Systems (eBook)

Sergio Escalera, Markus Weimer (Herausgeber)

eBook Download: PDF

2018
X, 287 Seiten
Springer International Publishing (Verlag)
978-3-319-94042-7 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 27.9.2018
• Reihe/Serie: The Springer Series on Challenges in Machine Learning
• Reihe/Serie: The Springer Series on Challenges in Machine Learning
• Zusatzinfo: X, 287 p. 85 illus.
• Verlagsort: Cham
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Grafik / Design
• Schlagworte: Adversarial Learning • Chatbots • computer vision • conversational settings • Deep learning • Deep Reinforcement Learning • Genetic Mutations • Intelligent Agents • machine learning • Natural Language Processing • neural information processing systems • Reinforcement Learning
• ISBN-10: 3-319-94042-2 / 3319940422
• ISBN-13: 978-3-319-94042-7 / 9783319940427