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 #  AuthorTitleAccn#YearItem Type Claims
1 Christopher M. Bishop Pattern recognition and machine learning 026213 2011 Book  
2 Lorna Uden (ed.) 3rd International Workshop on Intelligent Data Analysis and Management I02311 eBook  
3 Amnon H. Eden ... (ed.) Singularity hypotheses I02206 2012 eBook  
4 Valentin Flunkert Delay-coupled complex systems I01630 2011 eBook  
5 Ulrich Ramacher On the construction of artificial brains I01323 2010 eBook  
6 Thilo Gross (ed.) Adaptive networks I01101 2009 eBook  
7 M.A. Aziz-Alaoui (ed.) From system complexity to emergent properties I01095 2009 eBook  
8 Rolf P. W�urtz (ed.) Organic computing I00939 2008 eBook  
9 Vladimir G. Ivancevic Complex nonlinearity I00869 2008 eBook  
10 Hiroshi Imai (ed.) Quantum computation and information I00822 2006 eBook  
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TitlePattern recognition and machine learning
Author(s)Christopher M. Bishop
PublicationNew York, Springer, 2011.
Descriptionxx, 738
ISBN,Price9780387310732 : Rs.3399
Classification621.397.3:681.3
Keyword(s)1. BIOINFORMATICS 2. COMPUTER SCIENCE 3. COMPUTER VISION 4. DATA MINING 5. MACHINE LEARNING 6. NKN PROJECT 7. SIGNAL PROCESSING 8. STATISTICS
Item TypeBook

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Accession#  Call#StatusIssued ToReturn Due On Physical Location
026213   621.397.3:681.3/BIS/026213  Issued BM01: Burse, Mahesh 19/Sep/2020
PP0019   621.397.3:681.3/BIS/PP0019  Issued AK01: Kembhavi 05/Oct/2019

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2.     
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Title3rd International Workshop on Intelligent Data Analysis and Management
Author(s)Lorna Uden (ed.)
Description1 online resource (x, 132 pages) : illustrations
Abstract NoteThese papers on Intelligent Data Analysis and Management (IDAM) examine issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a variety of disciplines. The papers derive from the 2013 IDAM conference in Kaohsiung ,Taiwan. It is an interdisciplinary research field involving academic researchers in information technologies, computer science, public policy, bioinformatics, medical informatics, and social and behavior studies, etc. The techniques studied include (but are not limited to): data visualization, data pre-processing, data engineering, database mining techniques, tools and applications, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing, etc
Keyword(s)1. Appl.Mathematics/Computational Methods of Engineering 2. Artificial Intelligence (incl. Robotics) 3. Computational Biology/Bioinformatics 4. Computer Appl. in Social and Behavioral Sciences 5. COMPUTER SCIENCE 6. DATA MINING 7. DATABASE MANAGEMENT 8. EBOOK 9. EBOOK - SPRINGER
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3.     
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TitleSingularity hypotheses : a scientific and philosophical assessment
Author(s)Amnon H. Eden ... (ed.)
PublicationDordrecht, Springer, 2012.
Description1 online resource (429 p.)
Abstract NoteSingularity Hypotheses: A Scientific and Philosophical Assessment offers authoritative, jargon-free essays and critical commentaries on accelerating technological progress and the notion of technological singularity. It focuses on conjectures about the intelligence explosion, transhumanism, and whole brain emulation. Recent years have seen a plethora of forecasts about the profound, disruptive impact that is likely to result from further progress in these areas. Many commentators however doubt the scientific rigor of these forecasts, rejecting them as speculative and unfounded
Keyword(s)1. ARTIFICIAL INTELLIGENCE 2. COMPUTER SCIENCE 3. COMPUTERS / Enterprise Applications / Business Intelligence Tools 4. COMPUTERS / Intelligence (AI) & Semantics 5. EBOOK 6. EBOOK - SPRINGER 7. FUZZY SYSTEMS 8. Soft computing 9. TECHNOLOGICAL INNOVATIONS
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TitleDelay-coupled complex systems : and applications to lasers
Author(s)Valentin Flunkert
PublicationBerlin, Springer, 2011.
Description1 online resource (xiii, 180 p.)
Abstract NoteThis thesis deals with the effects of time-delay in complex nonlinear systems and in particular with its applications in complex networks, and relates it to control theory and nonlinear optics. Delays arise naturally in networks of coupled systems due to finite signal propagation speeds and are thus a key issue in many areas of physics, biology, medicine, and technology. Synchronization phenomena in these networks play an important role, e.g., in the context of learning, cognitive and pathological states in the brain, for secure communication with chaotic lasers or gene regulation. The work includes both novel results on the control of complex dynamics by time-delayed feedback and new fundamental insights into the interplay of delay and synchronization. One of the most interesting results here is a solution to the problem of complete synchronization in general networks with large coupling delay, i.e., large distances between the nodes, by giving a universal classification of networks which has a wide range of interdisciplinary applications
Contents NoteStabilization of Odd-Number Orbits -- Time Delayed Feedback Control -- Counterexample -- Odd-Number Orbits Close to a Fold Bifurcation -- Towards Stabilization of Odd-Number Orbits in Experiments -- Stabilization with Symmetric Feedback Matrices -- Application to Laser Systems -- Stabilization of Anti-Phase Orbits -- Synchronization of Delay Coupled Systems -- Structure of the Master Stability Function for Large Delay -- Lang Kobayashi Laser Equations -- Necessary Conditions for Synchronization of Lasers -- Bubbling -- Summary and Conclusions -- Appendix -- Index
NotesIncludes bibliographical references and index
Keyword(s)1. COMPUTER SCIENCE 2. CONTROL THEORY 3. EBOOK 4. EBOOK - SPRINGER 5. NONLINEAR SYSTEMS
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5.     
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TitleOn the construction of artificial brains
Author(s)Ulrich Ramacher;Christoph von der Malsburg;eds
PublicationBerlin, Springer, 2010.
Description1 online resource (viii, 359 p.) : ill
Contents NoteCover -- Contents -- Prologue -- 0.1 Main Results -- 0.2 Prehistory of Our Project -- 0.3 Acknowledgement -- 1 The Difficulty of Modelling Artificial Brains -- 1.1 McCullogh-Pitts Model -- 1.2 Learning Nets -- 1.3 Spiking Neurons -- 1.4 Architecture of Vision -- 1.5 The Steps of the Construction Process -- 1.6 Summary -- 2 Information Processing in Nets with Constant Synapses -- 2.1 Generic Signal Equations for Pulse Neurons and Synapses -- 2.2 Partitions and Their Time Development -- 2.3 Experiments with Constant Synapses -- 2.4 Entropy and Transfer Function of a Net -- 2.5 Operating Range of a Net -- 2.6 Pulse Rates -- 2.7 Resolution and Net Size -- 2.8 Application Potential -- 2.9 Limited Simulation Time -- 2.10 Summary -- 3 Theory of Nets with Constant or Dynamic Synapses -- 3.1 Derivation of the Signal Energy -- 3.2 Temporal Mean and Spatial Mean -- 3.3 Determination of the Frequency Distribution -- 3.4 Summary -- 4 Macro-Dynamics of Nets with Constant Synapses -- 4.1 Known Synapses -- 4.2 Known Distribution of Synapses -- 4.3 Agreement of Theory with Experiment -- 4.4 Lack of Correlation -- 4.5 Determining the Signal Energy and Entropy by Pulse Rates -- 4.6 Summary -- 5 Information Processing with Dynamic Synapses -- 5.1 The Types of Solutions of Synaptic Equations -- 5.2 Synchronisation of Neurons -- 5.3 Segmentation per Synchronisation -- 5.4 Calculation of Pulse Differences and Sums -- 5.5 Simple Applications -- 5.6 Time Coding and Correlation -- 5.7 Entropy and State Space -- 5.8 Preliminary Considerations on the Statistics of Synchronisation -- 5.9 Summary -- 6 Nets for Feature Detection -- 6.1 Overview of Visual System -- 6.2 Simple Cells -- 6.3 Creation of Detector Profiles for Gabor Wavelets -- 6.4 Experimental Check -- 6.5 Summary -- 7 Nets for Feature Recognition -- 7.1 Principles of Object Recognition -- 7.2 Net Architecture for Robust Feature Recognition -- 7.3 Feature Recogniser -- 7.4 Selectivity -- 7.5 Orthogonality of Rotation -- 7.6 Invariance of Function as to Brightness -- 7.7 Invariance of Function as to Form and Mimic -- 7.8 Generating Object Components through Binding of Features -- 7.9 Summary -- 8 Nets for Robust Head Detection -- 8.1 Results of Head Detection -- 8.2 Next Steps -- 8.3 Summary -- 9 Extensions of the Vision Architecture -- 9.1 Distance-Invariant Feature Pyramid -- 9.2 The Inner Screen -- 9.3 Summary -- 10 Look-out -- 10.1 Data Format of the Brain -- 10.2 Self-Organisation -- 10.3 Learning -- 10.4 Invariant Object Recognition -- 10.5 Structured Memory Domains -- 10.6 Summary -- 11 Preliminary Considerations on the Microelectronic Implementation -- 11.1 Equivalent Representations -- 11.2 Microelectronic Implementations -- 11.3 Models of Neurons and Synapses -- 12 Elementary Circuits for Neurons, Synapses, and Photosensors -- 12.1 Neuron -- 12.2 Adaptive Synapses -- 12.3 Photosensors -- 12.4 DA-Converters and Analogue Image Storage -- 12.5 Summary -- 13 Simulation of Microelectronic Neural Circuits and Systems -- 13.1 Modelling of Neurons and Synapses -- 13.2 Results of Modelling -- 13.3 Notes on the Simulation Procedure -- 13.4 Summary -- 14 Architecture and Chip Design of the Feature Recognizer -- 14.1 Chip Architecture of the Feature Recogni
NotesIncludes bibliographical references and index
Keyword(s)1. COMPUTER SCIENCE 2. EBOOK 3. EBOOK - SPRINGER 4. NEURAL CIRCUITRY 5. Neural networks (Computer science)
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6.     
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TitleAdaptive networks : theory, models and applications
Author(s)Thilo Gross (ed.);Hiroki Sayama (ed.)
PublicationBerlin, Springer-Verlag, 2009.
Description1 online resource (1 v.)
NotesIncludes bibliographical references
Keyword(s)1. Adaptive computing systems 2. COMPUTER SCIENCE 3. EBOOK 4. EBOOK - SPRINGER 5. Electronic books
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7.     
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TitleFrom system complexity to emergent properties
Author(s)M.A. Aziz-Alaoui (ed.);C. Bertelle (ed.)
PublicationBerlin, Springer, 2009.
Description1 online resource (xi, 369 p.) : ill
NotesIncludes bibliographical references and index
Keyword(s)1. COMPUTATIONAL COMPLEXITY 2. COMPUTER SCIENCE 3. EBOOK 4. EBOOK - SPRINGER 5. SYSTEM ANALYSIS
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I01095     On Shelf    

8.     
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TitleOrganic computing
Author(s)Rolf P. W�urtz (ed.)
PublicationBerlin, Springer, 2008.
Description1 online resource (xi, 355 p.) : ill. (some col.)
Contents NoteIntroduction: organic computing / Rolf P. W�urtz -- The organic future of information technology / Christoph von der Malsburg -- Systems engineering for organic computing: the challenge of shared design and control between OC systems and their human engineers / Kirstie L. Bellman, Christopher Landauer and Phyllis R. Nelson -- Controlled emergence and self-organization / Christian M�uller-Schloer and Bernhard Sick -- Organic computing and complex dynamical systems-conceptual foundations and interdisciplinary perspectives / Klaus Mainzer -- Evolutionary design of emergent behavior / J�urgen Branke and Hartmut Schmeck -- Genesis of organic computing systems: coupling evolution and learning / Christian Igel and Bernhard Sendhoff -- Organically grown architectures: creating decentralized, autonomous systems by embryomorphic Engineering / Ren�e Doursat -- Artificial development / Simon Harding and Wolfgang Banzhaf -- Self-adaptive worker-helper systems with self-organized task allocation / Daniel Merkle, Martin Middendorf and Alexander Scheidler -- Concepts for self-adaptive and self-healing networked embedded systems / Thilo Streichert ... [et al.] -- An artificial hormone system for self-organizing real-time task allocation in organic middleware / Uwe Brinkschulte, Mathias Pacher and Alexander von Renteln -- Bio-inspired networking -- Self-organizing networked embedded systems / Falko Dressler -- Self-organized evaluation of dynamic hand gestures for sign language recognition / Ioan Buciu and Ioannis Pitas -- Subspace image representation for facial expression analysis and face recognition and its relation to the human visual system / Maximilian Kr�uger, Christoph von der Malsburg and Rolf P. W�urtz
NotesIncludes bibliographical references and index
Keyword(s)1. COMPUTER SCIENCE 2. EBOOK 3. EBOOK - SPRINGER 4. Molecular computers 5. Organic compounds
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I00939     On Shelf    

9.     
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TitleComplex nonlinearity : chaos, phase transitions, topology change, and path integrals
Author(s)Vladimir G. Ivancevic;Tijana T. Ivancevic
PublicationBerlin, Springer, 2008.
Description1 online resource (xv, 844 p.) : ill
NotesIncludes bibliographical references (p. [713]-830) and index
Keyword(s)1. COMPUTER SCIENCE 2. DYNAMICS 3. EBOOK 4. EBOOK - SPRINGER 5. Nonlinear control theory 6. NONLINEAR SYSTEMS
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I00869     On Shelf    

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TitleQuantum computation and information : from theory to experiment
Author(s)Hiroshi Imai (ed.);Masahito Hayashi (ed.)
PublicationBerlin, Springer, 2006.
Description1 online resource (xv, 279 p.) : ill
Contents NoteQuantum identification of Boolean oracles / Andris Ambainis ... [et al.] -- Query complexity of quantum biased oracles / Kazuo Iwama, Rudy Raymond, Shigeru Yamashita -- Quantum statistical interference / Masahito Hayashi -- Quantum cloning machines / Heng Fan -- Entanglement and quantum error correction / Tohya Hiroshima, Masahito Hayashi -- On additivity questions / Keiji Matsumoto -- Quantum computational cryptography / Akinori Kawachi, Takeshi Koshiba -- Quantum key distribution: security, feasibility and robustness / Xiang-Bin Wang -- Why quantum steganography can be stronger than classical steganography / Shin Natori -- Photonic realization of quantum information systems / Akihisa Tomita, Bao-Sen Shi
NotesIncludes bibliographical references and indexes
Keyword(s)1. COMPUTER SCIENCE 2. COMPUTERS 3. EBOOK 4. EBOOK - SPRINGER 5. QUANTUM COMPUTERS 6. QUANTUM THEORY
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I00822     On Shelf    

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