Search Results - (((((((kant OR want) OR mantis) OR when) OR cantor) OR anne) OR share) OR hints) algorithms.

Fuzzy multi-criteria decision making : theory and applications with recent developments

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System : the shaping of modern knowledge by Siskin, Clifford

Table of Contents: “…7 SECRETLY SEEKING SYSTEM-INSTITUTING THE SOCIAL -- SUBJECTS FOR SYSTEMS-"THE PROSCRIBED LITTLE PERSONAGE-I" -- THE "CHARACTER OF MEMBERS"-CLUBS AS INTERFACES -- SYSTEM INCARNATE-DANCING INTO MODERNITY -- CODA -- Re:ENLIGHTENMENT (ALGORITHMICALLY ENHANCED SYSTEMS) -- "THE WHOLE ENCHILADA" -- THE PERSISTENCE OF SYSTEM -- APPENDIX A: NOTES ON VISUALIZATION -- THE SCATTER PLOTS -- THE TECTONIC DIAGRAMS -- TECHNICAL NOTES -- APPENDIX B: TITLES CONTAINING ESSAY(S) IN THE PLURAL VERSUS THE SINGULAR -- NOTES -- PROLOGUE -- CHAPTER 1 -- CHAPTER 2 -- CHAPTER 3 -- CHAPTER 4 -- CHAPTER 5 -- CHAPTER 6 -- CHAPTER 7 -- CODA -- REFERENCES -- INDEX.…”
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Dermatologic principles and practice in oncology : conditions of the skin, hair, and nails in cancer patients

Table of Contents: “…Borovicka, Jennifer R.S. Gordon, Ann Cameron Haley, Nicole E. Larson and Dennis P. …”
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Advanced manufacturing technology and systems : selected, peer reviewed papers from the 2012 International Conference on Advanced Manufacturing Technology and Systems (AMTS 2012),...

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Computational ecology : artificial neural networks and their applications by Zhang, Wenjun

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Deep Learning Quick Reference : Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras. by Bernico, Michael

Table of Contents: “…Cover; Copyright and Credits; Dedication; Packt Upsell; Foreword; Contributors; Table of Contents; Preface; Chapter 1: The Building Blocks of Deep Learning; The deep neural network architectures; Neurons; The neuron linear function; Neuron activation functions; The loss and cost functions in deep learning; The forward propagation process; The back propagation function; Stochastic and minibatch gradient descents; Optimization algorithms for deep learning; Using momentum with gradient descent; The RMSProp algorithm; The Adam optimizer; Deep learning frameworks; What is TensorFlow?…”
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The New Advertising : Branding, Content, and Consumer Relationships in the Data-Driven Social Media Era. by Wang, Ming

Table of Contents: “…Unraveling User Psychology of Location Check-Ins via Mobile Devices: Motivations, Privacy Concerns, and Indirect Advertising Effects of Location-Based Information Sharing in Social Media; 7. Real-Time Marketing: The Agility to Leverage "Now"; 8. …”
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Microscopic Approaches to Quantum Liquids in Confined Geometries. by Krotscheck, Eckhard

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Experimental Economics and Culture by Gunnthorsdottir, Anna

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Advances in parallel computing technologies and applications

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DataFlow supercomputing essentials : research, development and education

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Progress in financial markets research

Table of Contents: “…Concluding Remarks -- Appendix -- References -- Chapter 4: WHEN NONRANDOMNESS APPEARS RANDOM: A CHALLENGE TO FINANCIAL ECONOMICS -- 4.1. …”
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QoS and Energy Management in Cognitive Radio Network : Case Study Approach. by Mishra, Vishram

Table of Contents: “…; 1.2 Spectrum Regulation; 1.2.1 Licensed Spectrum; 1.2.2 Unlicensed Spectrum; 1.2.3 Open Spectrum; 1.3 Opportunistic Spectrum Usage; 1.4 Software Defined Radio and Cognitive Radio; 1.4.1 IEEE Groups Working on Spectrum Sharing; 1.4.2 Cognition Cycle; 1.4.3 Cognitive Engine and Framework; 1.4.4 Cognitive Radio Network; 1.5 Quality of Service (QoS); 1.5.1 QoS Provisioning for Latency Guarantee; 1.5.2 QoS Provisioning for Throughput Guarantee; 1.6 Channel Selection Techniques in Cognitive Radio Network.…”
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Advances in intelligent transportation : system and technology : selected, peer reviewed papers from the 1st International Doctoral Annual Symposium on Intelligent Transportation T...

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Information engineering for mechanics and materials research

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Principles of artificial neural networks by Graupe, Daniel

Table of Contents: “…Fundamentals of biological neural networks -- ch. 3. Basic principles of ANNs and their early structures. 3.1. Basic principles of ANN design. 3.2. …”
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Communication networks and computer systems : a tribute to Professor Erol Gelenbe

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In pursuit of the traveling salesman : mathematics at the limits of computation by Cook, William, 1957-

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Choice modelling : the state-of-the-art and the state-of-practice : proceedings from the inaugural International Choice Modelling Conference

Table of Contents: “…On estimation of hybrid choice models / Denis Bolduc, Ricardo Alvarez-Daziano -- A model of travel happiness and mode switching / Maya Abou-Zeid, Moshe Ben-Akiva -- On path generation algorithms for route choice models / Emma Frejinger, Michel Bierlaire -- Mode choice endogeneity in value of travel time estimation / Stefan L. …”
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Introduction to dynamics and control of flexible structures by Junkins, John L.

Table of Contents: “…3.2 Lyapunov's Stability Theorem (Direct Method)3.3 Stability of Linear Systems -- Lyapunov Theorem for Linear Systems -- Linear Dynamic Systems Subject to Arbitrary Disturbances -- Stability Analysis for Mechanical Second Order Systems -- 3.4 Nonlinear, Time Varying, and Distributed Parameter Systems -- Local Stability of Linearized Systems -- What to do When U is Only Negative Semi-Definite -- Lyapunov Control Law Design Method -- Work Energy Rate Principle and Laypunov Stable Control Laws -- Globally Stable Tracking Controller: Lyapunov Approach…”
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