The 7^th International Conference on Extreme Learning Machines (ELM2016)

Marina Bay Sands, Singapore, December 13 – 15, 2016

http://elm2016.extreme-learning-machines.org/

(Submission system is now open) 

Organizer:           Nanyang Technological University, Singapore

Co-Organizers:  University of Oxford, UK; Tsinghua University, China

 Extreme Learning Machines (ELM) aim to break the barriers between the conventional artificial learning techniques and biological learning mechanism. ELM  represents a suite of (machine or possibly biological) learning techniques in which hidden neurons need not be tuned. ELM learning theories show that very effective learning algorithms can be derived based on randomly generated hidden neurons (with almost any nonlinear piecewise activation functions), independent of training data and application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that “random hidden neurons” capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers. ELM offers significant advantages over conventional neural network learning algorithms such as fast learning speed, ease of implementation, and minimal need for human intervention. ELM also shows potential as a viable alternative technique for large‐scale computing and artificial intelligence.

The main theme of ELM2016 is: Big Data, Hierarchical Machine Learning and Biological Learning

Organized by Nanyang Technological University, Singapore, and co‐organized by University of Oxford, UK, and Tsinghua University, China, ELM2016 will be held in the beautiful island‐country of Singapore. This conference will provide a forum for academics, researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and biological learning.

Accepted papers presented in this conference will be published in conference proceedings and selected papers will be recommended to reputable ISI indexed international journals.

Topics of interest:

All the submissions must be related to ELM technique.  Topics of interest include but are not limited to:

Theories

•        Universal approximation, classification and convergence

•        Robustness and stability analysis

•        Biological learning mechanism and neuroscience

•        Machine learning science and data science

Algorithms

•        Real-time learning, reasoning and cognition

•        Sequential/incremental learning and kernel learning

•        Clustering and feature extraction/selection/learning

•        Random projection, dimensionality reduction, and matrix factorization

•        Closed form and non-closed form solutions

•        Hierarchical solutions, and combination of deep learning and ELM

•        No-Prop, Random Kitchen Sink, FastFood, QuickNet, RVFL, Echo State Networks

•        Parallel and distributed computing / cloud computing

Applications

•        Time series prediction, smart grid and control engineering

•        Pattern recognition

•        Social media and video applications

•        Biometrics and bioinformatics

•        Security and compression

•        Human computer interface and brain computer interface

•        Cognitive science/computation

•        Sentic computing, natural language processing and speech processing

•        Big data analytics

Paper submission:

All submissions will go through rigorous peer review. Details on manuscript submission can be found online via http://elm2016.extreme-learning-machines.org.

Important dates:

Paper submission deadline:       July 1, 2016

Notification of acceptance:         August 1, 2016

Registration deadline:                  September 1, 2016

Taylor and Francis Group and Autosoft

INTELLIGENT AUTOMATION & SOFT COMPUTING

Call For Papers

Special Issue on

Z-numbers theory and its applications

I. AIMS AND SCOPE

Real-world information is imperfect. On the one hand, such

information is often characterized by fuzziness. This implies that

we often impose soft constraints on values of variables of

interest. On the other hand, real-world information is

characterized by partial reliability. Indeed, any estimation of

values of interest, be it precise or soft, is subject to the

confidence in sources of information – knowledge, assumptions,

intuition, envision, experience – which, in general, cannot

completely cover the whole complexity of real-world phenomena.

Thus, fuzziness and partial reliability are strongly associated to

each other. In order to take into account this fact, L.A. Zadeh

suggested the concept of a Z-number as a more adequate formal

construct for description of real-world information.

Many numbers, especially, in fields such as economics and decision

analysis, are in reality Z-numbers, but they are not treated as

such, because it is much simpler to compute with numbers than with

Z-numbers. Basically, the concept of a Z-number is a step toward

formalization of the remarkable human capability to make rational

decisions in an environment of imprecision and uncertainty.

The concept of a Z-number has a potential for many applications,

especially in the realms of computation with probabilities and

events described in NL. Of particular importance are applications

in economics, decision analysis, risk assessment, prediction,

anticipation, planning, biomedicine and rule-based manipulation of

imprecise functions and relations.

The aim of this special issue is to collect the most recent

outstanding theoretical and practical contributions to the

Z-number concept. It will attempt to cover the issues related to

using Z-numbers in control, decision analysis, system analysis,

modeling etc. These contributions will represent an advance in the

state-of-the-art of computation with Z-numbers including models,

algorithms, methodologies and applications.

We will select high quality papers that pay attention to new

methodologies to deal with the emerging problems and technologies

(big data, system of systems, Z-reasoning, Z-forecasting, …)

together well-established problems (classification and regression,

clustering, time series, data mining, intelligent automation,

hybrid systems), with the aim of collecting novel and creative

proposals involving new avenues for research in the field of

Z-number.

II. TOPICS COVERED

* Z-Number and Z-Information Analysis

* Computation with Z-Numbers

* Reasoning with Z-Numbers

* Z-Arithmetic

* Aggregation of Z-Information

* Z-number Based Linear and Non-Linear Programming

* Z-Number and Computing With Words

* Z-Number Based Neurocomputing

* Z-Number and Evolutionary Computation

* Z-Number in Control

* Decision Making under Z-Information

* Z-Number Based Time Series

* Z-Number Based Pattern Recognition

* Z-Number in Art

* Z-Number Based Regression and Clustering

* Uncertain Computation and Applications

* Z-number and Soft Computing in Earth Sciences, Industrial

  Engineering, Financial Engineering, Medicine and Biomedical

  Engineering, Business and Economics

* Other Related Areas and Applications

III. IMPORTANT DATES

June 1, 2016: Submission deadline

September 1, 2016: Notification of the first-round review

November 1, 2016: Revised submission due

December 1, 2016: Final notice of acceptance/reject

IV. SUBMISSION GUIDELINES

Manuscripts should be prepared according to the instruction of the

“Instructions for Authors” section of the journal and submission

should be done through the Intelligent Automation & Soft Computing

(Autosoft) journal official website:

http://wacong.org/autosoft/auto/. Authors who are going to submit

their papers to the Autosoft special issue on "Z-Number and

Z-Information Analysis", should select this special issue from a

select box on paper submission page.

Clearly mark "Z-numbers theory and its applications" in your cover

letter to the Editor-in-Chief.

All submitted manuscripts will be reviewed using the standard

procedure that is followed for regular submissions.

V. GUEST EDITORS

Prof. Rafik Aliev

Azerbaijan State Oil and Industry University

e-mail: raliev@asoa.edu.az

Prof. Vladik Kreinovich

University of Texas at El Paso, USA

e-mail: vladik@utep.edu

Prof. Burhan Turksen

University of Toronto, Canada

e-mail: turksen@mie.utoronto.ca,

ibturksen@gmail.com

The Board of Directors of the North American Fuzzy Information

Processing Society (NAFIPS) is happy to announce that this year, two

researchers will receive the Early Career Award:

Dr. Luciana Takata Gomes, Department of Physics, Chemistry and

Mathematics, Federal University of Sao Carlos – UFSCar, Sorocaba,

Sao Paulo, Brazil, and

Dr. Francisco Zapata, Instructor, Department of Computer Science,

University of Texas at El Paso, and Service Information Developer,

Hewlett Packard Enterprise Services.

This award is given to researchers within 5 years of their PhD

defense. Each awardee is expected to give a highlighted

presentation of his/her research at the next year's NAFIPS

conference — in this case, at NAFIPS'2017.

Dr. Gomes defended her PhD dissertation in 2014 on Fuzzy

Differential Equations. Her list of publications includes a

Springer book and 10 papers in academic journals and in the

proceedings of peer-refereed conferences, including 3 published

after her PhD defense.

Dr. Zapata defended his PhD dissertation in 2013 on Partial Orders

for Representing Uncertainty, Causality, and Decision Making:

General Properties, Operations, and Algorithms. His list of

publications includes a research monograph and 26 papers in

academic journals and in the proceedings of peer-refereed

conferences, including 15 published after his PhD defense.

Both received the Outstanding Paper Awards at the NAFIPS'2015

conference.

Congratulations to Dr. Gomes and Dr. Zapata!

On behalf of Board of Directors

Vladik Kreinovich

Chair, NAFIPS Early Career Award Committee

The 2nd International Conference on Micro-electronics Engineering

http://www.as-se.org/conf/icme2017/

March 17-18, 2017, in Los Angeles, California, USA

Host
American Society of Science and Engineering

Collaborators
Science and Engineering Publishing Company;
Ivy Publisher

All accepted papers will be published as regular issue in the following journals;
(Formal and International)

Submission Due：May 31, 2016

Acceptance Notification Date: 2 weeks after submission

More information please visit: http://www.as-se.org/conf/icme2017/
We’re looking forward to meeting you in the beautiful city—- Los Angeles, California, USA.

                                                                                                 icme2016@sina.com
                                                                                                 ICME2017 Conference Committee