Artificial Intelligence and Molecular Biology
by Lawrence Hunter
Publisher: AAAI Press 1993
Number of pages: 467
These original contributions provide a current sampling of AI approaches to problems of biological significance; they are the first to treat the computational needs of the biology community hand-in-hand with appropriate advances in artificial intelligence. Focusing on novel technologies and approaches, rather than on proven applications, they cover genetic sequence analysis, protein structure representation and prediction, automated data analysis aids, and simulation of biological systems. A brief introductory primer on molecular biology and Al gives computer scientists sufficient background to understand much of the biology discussed in the book.
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by George K Matsopoulos - InTech
Contents: Learning the Number of Clusters in Self Organizing Map; Neural-Network Enhanced Visualization of High-Dimensional Data; SOM-based Applications in Remote Sensing; Segmentation of Satellite Images Using SOM; Face Recognition Using SOM; etc.
by Eugene M. Izhikevich, at al. - Scholarpedia
Encyclopedia of Computational Intelligence covers neural networks, evolutionary computation, robotics, machine learning and pattern recognition, graphs and complexity, artificial intelligence, information theory, fuzzy systems, signal analysis, etc.
by Xin-Xing Tang (ed.) - InTech
Virtual reality has impact on information organization and management and even changes design principle of information systems, which will make it adapt to application requirements. The book aims to provide a broader perspective of virtual reality.
by Antonio Lieto, Marco Cruciani (eds) - University of Torino
This book of Proceedings contains the accepted papers of the first International Workshop on Artificial Intelligence and Cognition (AIC13). The scientific motivation resides on the growing impact between Cognitive Science and Artificial Intelligence.