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The NIPS '17 competition = building ...
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SpringerLink (Online service)
The NIPS '17 competition = building intelligent systems /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
The NIPS '17 competition/ edited by Sergio Escalera, Markus Weimer.
Reminder of title:
building intelligent systems /
other author:
Escalera, Sergio.
Published:
Cham :Springer International Publishing : : 2018.,
Description:
x, 287 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Machine learning. -
Online resource:
https://doi.org/10.1007/978-3-319-94042-7
ISBN:
9783319940427
The NIPS '17 competition = building intelligent systems /
The NIPS '17 competition
building intelligent systems /[electronic resource] :edited by Sergio Escalera, Markus Weimer. - Cham :Springer International Publishing :2018. - x, 287 p. :ill., digital ;24 cm. - The springer series on challenges in machine learning,2520-131X. - Springer series on challenges in machine learning..
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: 9783319940427
Standard No.: 10.1007/978-3-319-94042-7doiSubjects--Topical Terms:
561253
Machine learning.
LC Class. No.: Q325.5 / .N57 2018
Dewey Class. No.: 006.31
The NIPS '17 competition = building intelligent systems /
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building intelligent systems /
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edited by Sergio Escalera, Markus Weimer.
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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.
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