Symposium on Machine Learning and Applications

Introduction

The symposium will focus on machine learning techniques and their applications. The aim of this symposium is to bring together researchers who are working in the areas of machine learning and applying machine learning techniques to solve real world problems.

The symposium will seek original and unpublished research work on all aspects of machine learning algorithms and their applications, including, but not limited to:

• Neural Networks.
• Evolutionary Algorithms.
• Fuzzy Logic.
• Support Vector Machines.
• Statistical Learning Algorithms.
• Hybrid Learning Algorithms.
• Data Mining Algorithms.
• Applications of Machine Learning Techniques.

Queries regarding the Symposium can be directed to Dr. Kulkarni using the e-mail address listed below.

Dr. Siddhi Kulkarni
School of Information Technology and Mathematical Sciences
University of Ballarat
PO Box 663, Ballarat, Victoria, 3353, Australia
E-mail: s.kulkarni (at) ballarat (dot) edu . au

Paper Submission

Paper submissions are open here.

Chair:

• Siddhi Kulkarni (University of Ballarat, Australia)
• Brijesh Verma (Central Queensland University, Australia)

Program Committee

• Ajith Abraham (Chung-Ang University, Korea)
• Andre C. P. L. F. de Carvalho (University of Sao Paulo, Brazil)
• Antonio de Padua Braga (Federal University of Minas Gerais, Brazil)
• Baikunth Nath (University of Melbourne, Australia)
• Erkki Oja (Helsinki University of Technology, Finland)
• Haibin Zhu (Nipissing University, Canada)
• Henry Selvaraj (University of Nevada Las Vegas, USA)
• Kaori Yoshida (Kyushu Institute of Technology, Japan)
• Peter Vamplew (University of Ballarat, Australia)
• Tuan Pham (James Cook University, Australia)
• Vasile Palade (Oxford University, UK)