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Cognitive Computing - ICCC 2018 de Jing Xiao

Cognitive Computing - ICCC 2018: Lecture Notes in Computer Science, cartea 10971

Editat de Jing Xiao, Zhi-Hong Mao, Toyotaro Suzumura, Liang-Jie Zhang
en Limba Engleză Paperback – 20 iun 2018
This book constitutes the proceedings of the International Conference on Cognitive Computing, ICCC 2018, held as part of SCF 2018, in Seattle, WA, USA, in June 2018. The 15 papers presented in this volume were carefully reviewed and selected from numerous submissions. The papers cover all aspects of Sensing Intelligence (SI) as a Service (SIaaS). Cognitive Computing is a sensing-driven computing (SDC) schema that explores and integrates intelligence from all types of senses in various scenarios and solution contexts.

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Specificații

ISBN-13: 9783319943060
ISBN-10: 3319943065
Pagini: 200
Ilustrații: XII, 187 p. 73 illus.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.31 kg
Ediția:1st ed. 2018
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

A Set-Associated Bin Packing Algorithm with Multiple Objectives in the Cloud.- A Pair-wise Method for Aspect-based Sentiment Analysis.- Forum User Profiling by Integrating Behavior and Social Network.- Adversarial Training for Sarcasm Detection.- Reinforcement Learning with Monte Carlo Sampling in Imperfect Information Problems.- Comparative Evaluation of Priming Effects on HMDs and Smartphones with Photo Taking Behaviors.- An Efficient Diagnosis System for Thyroid Disease Based on Enhanced Kernelized Extreme Learning Machine Approach.- Supporting Social Information Discovery from Big UncertainSocial Key-Value Data via Graph-like Metaphors.- Development Status and Trends of Wearable Smart Devices on Wrists.- Localized Mandarin Speech Synthesis Services for Enterprise Scenarios.- Biologically Inspired Augmented Memory Recall Model for Pattern Recognition.- Utilizing the Capabilities Offered by Eye-Tracking to Foster Novices' Comprehension of Business Process Models Detecting AndroidMalware Using Bytecode Image.- The study of learners' Emotional Analysis Based on MOOC.- Source Detection Method Based on Propagation Probability.