Archive for the ‘Country’ Category

[Brazil] IJCNN2018 Special Session – Deep Learning and Reinforcement Learning for Games

IJCNN-21 Special Session: Deep Learning and Reinforcement Learning for Games  Organisers: Yuanheng Zhu (yuanheng.zhu@ia.ac.cn), Prof.Dongbin Zhao, Prof. Risto Miikkulainen (Rio de Janeiro, Brazil, July 8 – 13 2018, http://www.ecomp.poli.br/~wcci2018/ )   Scope and Aims:  Games have always been one of the most attractive fields for computational intelligence. Researchers in this field are making effort to let computer beat human experts, […]

[Workdhop] IEEE ASAR 2018 – United Kingdom – Deadline extended to 29th December 2017

  Please feel free to forward this call to your colleagues, networks and contacts who might be interested.   *** IEEE ASAR 2018 – CALL FOR PAPERS & CALL FOR COMPETITIONS ***   — 2nd IEEE Int. Workshop on Arabic and derived Script Analysis and Recognition (ASAR)  —   Venue: The Alan Turing Institute, London, […]

AIP-ICRTES conference

 indexed by ** Ø  Scopus (Elsevier) Ø  The Conference Proceedings Citation Index (part of Web of Science) Ø  Inspec Ø  Chemical Abstracts Service (CAS) Ø  Astrophysics Data System (ADS) Ø  UGC approved International Conference on Recent Trends in Engineering & Sciences is being held during 10th & 11th Feb. 2018. The conference is welcomes you […]

HEAd’18 – Call for Papers (CPCI indexed)

HEAd'18: Call for Papers 4th International Conference on Higher Education Advances June 20 – 22, 2018. Valencia, Spain http://www.headconf.org twitter: @headconf Scope After the great success of the previous HEAd conferences, which received submissions from 51 countries, we are pleased to announce the Fourth International Conference on Higher Education Advances (HEAd'18). This conference is an […]

[Brazil] ELM Special Session in IJCNN2018 / WCCI2018, Brazil

The 2018 IEEE World Congress on Computational Intelligence 2018 International Joint Conference on Neural Networks (IJCNN'2018) July 8-13, 2018, Rio de Janeiro, Brazil Special Session on “Extreme Learning Machines (ELM)”   Over the past few decades, conventional computational intelligence techniques faced bottlenecks in learning (e.g., intensive human intervention and time consuming). With the ever increasing […]

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