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Special Session on “Application of Nature Inspired Algorithms for Feature Selection and Function Approximation” Important Dates Last Date of Paper Submission 28th June, 2016 Notification of Acceptance 28th August, 2016 Camera Ready Copy 28th September, 2016 Publication All accepted and registered papers of this special session will be published in Springer Advances in Intelligent Systems and Computing (AISC) series. [Now indexed by: ISI Web of Science Proceedings, DBLP, Ulrich's, EICompendex, SCOPUS, Zentralblatt Math, MetaPress and Springerlink] http://www.springer.com/series/11156 Submission Guidelines 1. Prospective authors are invited to submit original research work that falls within the scope of the session. All submissions will be thoroughly peer-reviewed by experts based on originality, significance and clarity. 2. Only papers presenting novel research results or successful innovative applications will be considered for publication in the conference proceedings. 3. Kindly ensure that your paper is formatted as per Springer AISC Template (not exceeding 8 pages written in A4 size). Registration Please visit conference webpage for registration and other details: http://ic3t.mictech.ac.in/index.ph p/registration Session Chair(s): Dr. Sujata Dash, Affiliation: North Orissa University, Baripada,Odisha, India E-Mail: [email protected], Mobile No: 8599001215 Theme of Session: Computational Intelligence (CI) has played a significant role in various industrial applications such as pharmaceutical, medical, chemical, etc. Data generated or collected for modeling is a crucial aspect apart from the conventional experimental work carried-out in the industry. Often collected data need to be analyzed. In this case, CI tools help in understanding and modeling collected data. For several applications, critical variables involved in the experimental process need to be determined. Hence, feature selection methods helps discovering these critical variables. This session is devoted to novel research featuring feature selection and function approximation in real world application problems. Topics of Interest: We invite original (un-published) research contributions based on the above mentioned theme including following topics but not limited to: Dimensionality reduction • Feature weighting • Feature ranking • Subset selection • Feature extraction/construction • Feature selection methodology • Integration with data mining algorithms • Data streams and time series • Selection in extremely high-dimensional domains • Real-world case studies and applications Function Approximation • Neural networks • Fuzzy neural networks • Support vector machines and kernel methods • Mixture models, ensemble learning, and other meta-learning or committee algorithms • Hybrid learning methods • Deep learning • Brain-inspired cognitive architectures • Collective intelligence • Self-configuring systems • Hybrid intelligent systems Paper Submission Process: Please submit your paper (in word/pdf format) at email: with ‘Name of Special Session: ’ mentioned in the subject line. Program Committee: Prof. Ajit Abraham, MIR Labs, USA Prof. B.K. Tripathy, VIT, Chennai Prof P.K.Mohanty, New Brunswick University, Canada Prof. Atta Ur Rehman, BIT University, Pakistan Prof. Tarini Charan Panda, Ravenshaw University Dr. H.N. Kalia, U.N. College, Mayurbhanj, For any further queries related to this special session, please contact the session chairs at: E-mail ID: [email protected] Mobile No.:+91-8599001215