| Description |
1 online resource |
| Series |
The Springer series on challenges in machine learning |
|
Springer series on challenges in machine learning.
|
| 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 |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from digital title page (viewed on October 10, 2018) |
| Subject |
Machine learning.
|
|
Human-computer interaction.
|
|
Image processing.
|
|
Pattern recognition.
|
|
Artificial intelligence.
|
|
COMPUTERS -- General.
|
|
Human-computer interaction
|
|
Machine learning
|
| Form |
Electronic book
|
| Author |
Escalera, Sergio, editor.
|
|
Weimer, Markus, editor.
|
| ISBN |
9783319940427 |
|
3319940422 |
|
9783319940434 |
|
3319940430 |
|
