The 6th International Conference on Extreme Learning Machines (ELM2015) Shangri-La Hotel, Hangzhou, China December 15 – 17, 2015 Organized by Nanyang Technological University, Singapore Co-Organized by Zhejiang University, China; Tsinghua University, China Extreme Learning Machines (ELM) aim to break the barriers between the conventional artificial learning techniques and biological learning mechanism. ELM […]
Posts Tagged ‘Real-time learning’
6th International Conference on Extreme Learning Machines (ELM2015)
June 13th, 2015 
CI2S Enterprise Content Admin 
Posted in China, Congress, Country 
Tags: Big data analytics, Biological learning mechanism, Dimensionality reduction, Extreme Learning Machines, Machine Learning and Biological Learning, matrix factorization, Random projection, Real-time learning, reasoning and cognition 
Comments Off on 6th International Conference on Extreme Learning Machines (ELM2015)Special Issue on “New Trends of Learning in Computational Intelligence”
August 5th, 2014 CI2S Enterprise Content Admin Call for Papers IEEE Computational Intelligence Magazine Special Issue on “New Trends of Learning in Computational Intelligence” A special issue of the IEEE Computational Intelligence Magazine (IEEE CIM) will be dedicated to New Trends of Learning in Computational Intelligence. Prospective authors are invited to submit their original unpublished research and application contributions. Comprehensive tutorial and […]
Posted in Books & Libraries Tags: Autonomous Systems, Big data analytics, Biologically-inspired natural language processing, Closed form and non-closed form solutions, Clustering and feature extraction / selection, Cognitive science / computation, Extreme learning machines (ELM), Fast implementation of deep learning, Multiple hidden layers solutions and random networks, No-Prop algorithms, Parallel and distributed computing / cloud computing, random kitchen sinks, Real-time learning, reasoning and cognition, Sequential / incremental learning, Theoretical foundations and algorithms Comments Off on Special Issue on “New Trends of Learning in Computational Intelligence”