Advances in Learning Theory: Methods, Models and Applications - NATO Science Series: Computer & Systems Sciences

Marc Notes: Bibl. ref. & index.; Based on pre-pub. info. only. Publisher Marketing: In recent years, considerable progress has been made in the understanding of problems of learning and generalization. In this context, intelligence basically means the ability to perform well on new data after learning a model on the basis of given data. Such problems arise in many different areas and are becoming increasingly important and crucial towards many applications such as in bioinformatics, multimedia, computer vision and signal processing, internet search and information retrieval, datamining and textmining, finance, fraud detection, measurement systems, process control and several others. Currently, the development of new technologies enables to generate massive amounts of data containing a wealth of information that remains to become explored. Often the dimensionality of the input spaces in these novel applications is huge. This can be seen in the analysis of micro-array data, for example, where expression levels of thousands of genes need to be analyzed given only a limited number of experiments. Without performing dimensionality reduction, the classical statistical paradigms show fundamental shortcomings at this point. Facing these new challenges, there is a need for new mathematical foundations and models in a way that the data can become processed in a reliable way. The subjects in this publication are very interdisciplinary and relate to problems studied in neural networks, machine learning, mathematics and statistics.

Contributor Bio:  Basu, S After completing Ph. D. (I. I. Sc., Bangalore) in Chemical Engineering, Dr. S. Basu joined Department of Chemical & Material Engineering, University of Alberta, Canada as post-doc fellow in 1994 and continued there as post-doc fellow and visiting faculty up to 1997. He joined Department of Chemical Engineering, Indian Institute of Technology Delhi as Assistant Professor in 1998. He initiated fuel cell development program at IIT Delhi with support of the Ministry of Nonconventional Energy Sources, India. Many Ph. D. students are working on these projects. He has published 25 papers in international journals with high citation index and presented 7 papers in international conferences and 6 in national conferences and one patent filed. He has visited University of Alberta, Canada in 2000 and 2002 as visiting Professor. Currently, he is executive council member of Indian Institute of Chemical Engineers (IIChE) and Hon. Secretary of IIChE, Northern Regional Centre.