• Cognition & cognitive psychology
      March 2003

      Cognitive Approach to Conscious Machines

      by Haikonen, Pentti O., A01

      Could a machine have an immaterial mind? The author argues that true conscious machines can be built, but rejects artificial intelligence and classical neural networks in favour of the emulation of the cognitive processes of the brain—the flow of...

    • Natural language & machine translation
      February 2011

      Computer Processing of Sanskrit Nominal Inflections

      Methods and Implementation

      by Author(s): Subhash Chandra and Girish Nath Jha

      Computer Processing of Sanskrit Nominal Inflections: Methods and Implementation is the result of Research and Development (R&D) at the Master of Philosophy (MPhil) level at Jawaharlal Nehru University, New Delhi, India. The title of the dissertation was “Machine Recognition and Morphological Analysis of Subanta-Padas.” The work, which is based on the reverse engineering implementation of Panini’s Sanskrit Grammar, brings together new and original studies in the area of computational linguistics, language technology and natural language processing with reference to parsing Sanskrit nominal inflections.On the surface level, Panini has defined rules in a forward looking generative fashion which makes reverse analysis necessary for parsing. Since parsing inflections is the first basic step towards complete analysis, the present work has relevance for any larger system that may evolve in future.

    • Artificial intelligence
      April 2018

      Artificial Intelligence and Natural Language Processing

      by Editor(s): Sudhir K Mishra

      Artificial Intelligence and Natural Language Processing is designed for students of computer science and linguistics at graduate and post-graduate levels, who have an interest in Natural Language Processing (NLP). This book balances the theoretical aspects of computer science and linguistics with their applications in NLP, keeping in mind the background of the students from either direction. Theories of linguistics such as phonology, morphology, syntax, semantics and lexicography are covered in the first section of the book. In the second, focus is given to theoretical aspects of computer science including AI, concepts of probability theory and approaches of machine learning. These two parts will provide students with the foundations of the field. The third part discusses the applications/tasks of NLP covering the areas of machine translation (MT) and grammar formalism in an Indian Language scenario, as well as speech processing.

    • Natural language & machine translation
      February 2011

      Computer Processing of Sanskrit Nominal Inflections

      Methods and Implementation

      by Author(s): Subhash Chandra and Girish Nath Jha

      Computer Processing of Sanskrit Nominal Inflections: Methods and Implementation is the result of Research and Development (R&D) at the Master of Philosophy (MPhil) level at Jawaharlal Nehru University, New Delhi, India. The title of the dissertation was “Machine Recognition and Morphological Analysis of Subanta-Padas.” The work, which is based on the reverse engineering implementation of Panini’s Sanskrit Grammar, brings together new and original studies in the area of computational linguistics, language technology and natural language processing with reference to parsing Sanskrit nominal inflections.On the surface level, Panini has defined rules in a forward looking generative fashion which makes reverse analysis necessary for parsing. Since parsing inflections is the first basic step towards complete analysis, the present work has relevance for any larger system that may evolve in future.

    • Science & Mathematics
      November 2018

      Lie Group Machine Learning

      by Fanzhang Li, Li Zhang, Zhao Zhang

      This book explains deep learning concepts and derives semi-supervised learning and nuclear learning frameworks based on cognition mechanism and Lie group theory. Lie group machine learning is a theoretical basis for brain intelligence, Neuromorphic learning (NL), advanced machine learning, and advanced artifi cial intelligence. The book further discusses algorithms and applications in tensor learning, spectrum estimation learning, Finsler geometry learning, Homology boundary learning, and prototype theory. With abundant case studies, this book can be used as a reference book for senior college students and graduate students as well as college teachers and scientific and technical personnel involved in computer science, artifi cial intelligence, machine learning, automation, mathematics, management science, cognitive science, financial management, and data analysis. In addition, this text can be used as the basis for teaching the principles of machine learning. Li Fanzhang is professor at the Soochow University, China. He is director of network security engineering laboratory in Jiangsu Province and is also the director of the Soochow Institute of industrial large data. He published more than 200 papers, 7 academic monographs, and 4 textbooks. Zhang Li is professor at the School of Computer Science and Technology of the Soochow University. She published more than 100 papers in journals and conferences, and holds 23 patents. Zhang Zhao is currently an associate professor at the School of Computer Science and Technology of the Soochow University. He has authored and co-authored more than 60 technical papers.

    • Computing & IT
      May 2019

      Maschinelles Lernen

      by Ethem Alpaydin

      Unter maschinellem Lernen versteht man die künstliche Generierung von Wissen aus Erfahrung. Das vorliegende Buch diskutiert Methoden aus den Bereichen Statistik, Mustererkennung und versucht, die unterschiedlichen Ansätze zu kombinieren, um möglichst effiziente Lösungen zu finden. Die neue Auflage bietet neue Kapitel über Kernel Machinen, Graphical Models, Baysian Estimation.

    Subscribe to our newsletter