The NeurIPS '18 Competition: From Machine Learning to Intelligent Conversations

Author:   Sergio Escalera ,  Ralf Herbrich
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
ISBN:  

9783030291341


Pages:   342
Publication Date:   30 November 2019
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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The NeurIPS '18 Competition: From Machine Learning to Intelligent Conversations


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Overview

This volume presents the results of the Neural Information Processing Systems Competition track  at the 2018 NeurIPS conference.  The competition follows the same format as the 2017 competition track for NIPS. Out of 21 submitted proposals, eight competition proposals were selected, spanning the area of Robotics, Health, Computer Vision, Natural Language Processing, Systems and Physics.  Competitions have become an integral part of advancing state-of-the-art in artificial intelligence (AI). They exhibit one important difference to benchmarks: Competitions test a system end-to-end rather than evaluating only a single component; they assess the practicability of an algorithmic solution in addition to assessing feasibility. The eight run competitions aim at advancing the state of the art in deep reinforcement learning, adversarial learning, and auto machine learning, among others, including new applications for intelligent agents in gaming and conversational settings, energy physics, and prosthetics. 

Full Product Details

Author:   Sergio Escalera ,  Ralf Herbrich
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Weight:   0.693kg
ISBN:  

9783030291341


ISBN 10:   3030291340
Pages:   342
Publication Date:   30 November 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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