Cognitive Computing – ICCC 2018

Second International Conference, Held as Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25-30, 2018, Proceedings

AvJing Xiao,Zhi-Hong Mao

Häftad, Engelska, 2018

Del 10971 i serien Lecture Notes in Computer Science

534 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2018-06-20
Mått:155 x 235 x 12 mm
Vikt:312 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:187
Förlag:Springer International Publishing AG
ISBN:9783319943060

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Innehållsförteckning

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.