Search Results - (((((((ant OR mantis) OR semantic) OR find) OR cantor) OR anne) OR plane) OR hints) algorithms.

Digital Learning in Motion : From Book Culture to the Digital Age. by Kergel, David

Table of Contents: “…4.3 The Urban Counterpublic of the Urban Avant-Garde: From Dadaism to Street Art -- 4.4 Progressive Education as (Counter- )Pedagogy of Modern Urbanism -- 4.5 Fordism -- the Economic Structure of Modern Urbanity -- 4.6 Informal-Accidental Learning Via Unidirectional Mass Media -- 4.7 In the Television Era the Electronic Age Finds its Medial Climax -- 4.8 Reacting on Informal-Accidental Learning -- Media Literacy, Media Competence and Media-Bildung -- 5 Fluid Learning in the Digital Age -- 5.1 The Beginning of the Digital Age -- 5.2 Early Counterculture of the 1990s Net Utopists.…”
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Poetry and Mind : Tractatus Poetico-Philosophicus by Dubreuil, Laurent

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Mobile opportunistic networks : architectures, protocols and applications

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Advanced practice nursing guide to the neurological exam by Armitage, Alex

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Complexus mundi : emergent patterns in nature

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DEEP LEARNING FOR HEALTHCARE DECISION MAKING.

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Microwave and millimeter wave circuits and systems : emerging design, technologies, and applications

Table of Contents: “…1.1.7 MBF Model -- the Memoryless PA Behavioural Model of ChoiceAcknowledgements; References; 2 Artificial Neural Network in Microwave Cavity Filter Tuning; 2.1 Introduction; 2.2 Artificial Neural Networks Filter Tuning; 2.2.1 The Inverse Model of the Filter; 2.2.2 Sequential Method; 2.2.3 Parallel Method; 2.2.4 Discussion on the ANN's Input Data; 2.3 Practical Implementation -- Tuning Experiments; 2.3.1 Sequential Method; 2.3.2 Parallel Method; 2.4 Influence of the Filter Characteristic Domain on Algorithm Efficiency; 2.5 Robots in the Microwave Filter Tuning; 2.6 Conclusions; Acknowledgement…”
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Learning Python Design Patterns - Second Edition. by Giridhar, Chetan

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Process control design for industrial applications by Popescu, Dumitru (Writer on computer science and engineering), Gharbi, Amira, Stefanoiu, Dan, Borne, Pierre

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Lead generation for dummies by Rothman, Dayna

Table of Contents: “…Defining Your SEO Measurements and AnalyticsPart III: Linking Outbound Marketing with Lead Generation; Chapter 11: Helping Buyers Find You with Pay-Per-Click Ads; Getting Started; Creating Your Ad Copy; Tracking Your Ad Performance; Chapter 12: Casting a Wide Net with Content Syndication; Accomplishing Your Goals with Content Syndication; Implementing Non-Paid Content Syndication; Chapter 13: Targeting with a Personal Touch Through Direct Mail; Making Direct Mail Work for You; Focusing on Creative Execution; Having an Integrated Approach.…”
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A guide to Monte Carlo simulations in statistical physics by Landau, David P.

Table of Contents: “…3.7 Finding the groundstate of a Hamiltonian -- 3.8 Generation of 'random' walks -- 3.8.1 Introduction -- 3.8.2 Random walks -- 3.8.3 Self-avoiding walks -- 3.8.4 Growing walks and other models -- 3.9 Final remarks -- References -- 4 Importance sampling Monte Carlo methods -- 4.1 Introduction -- 4.2 The simplest case: single spin-flip sampling for the simple Ising model -- 4.2.1 Algorithm -- 4.2.2 Boundary conditions -- 4.2.3 Finite size effects -- 4.2.4 Finite sampling time effects -- 4.2.5 Critical relaxation -- 4.3 Other discrete variable models.…”
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Advanced numerical and semi analytical methods for differential equations by Chakraverty, Snehashish

Table of Contents: “…8.2.2.1 Heaviside Function8.2.2.2 Dirac Delta Function; 8.2.2.3 Finding the Fundamental Solution; 8.2.3 Green's Function; 8.2.3.1 Green's Integral Formula; 8.3 Derivation of the Boundary Element Method; 8.3.1 BEM Algorithm; References; Chapter 9 Akbari-Ganji's Method; 9.1 Introduction; 9.2 Nonlinear Ordinary Differential Equations; 9.2.1 Preliminaries; 9.2.2 AGM Approach; 9.3 Numerical Examples; 9.3.1 Unforced Nonlinear Differential Equations; 9.3.2 Forced Nonlinear Differential Equation; References; Chapter 10 Exp-Function Method; 10.1 Introduction; 10.2 Basics of Exp-Function Method…”
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Trading on sentiment : the power of minds over markets by Peterson, Richard L., 1972-

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Machine learning in non-stationary environments : introduction to covariate shift adaptation by Sugiyama, Masashi, 1974-

Table of Contents: “…5.2 Characterization of Hetero-Distributional Subspace5.3 Identifying Hetero-Distributional Subspace by Supervised Dimensionality Reduction; 5.4 Using LFDA for Finding Hetero-Distributional Subspace; 5.5 Density-Ratio Estimation in the Hetero-Distributional Subspace; 5.6 Numerical Examples; 5.7 Summary; 6 Relation to Sample Selection Bias; 6.1 Heckman's Sample Selection Model; 6.2 Distributional Change and Sample Selection Bias; 6.3 The Two-Step Algorithm; 6.4 Relation to Covariate Shift Approach; 7 Applications of Covariate Shift Adaptation; 7.1 Brain-Computer Interface.…”
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Multi-dimensional Imaging. by Javidi, Bahram

Table of Contents: “…10.2 Digital Holography 226 -- 10.3 Metal Nanoparticles 227 -- 10.4 Resolution Enhancement in Digital Holography 229 -- 10.5 Field of View Enhancement in Digital Holography 231 -- 10.6 Eliminating the DC Term and the Twin Images 233 -- 10.7 Additional Applications 235 -- Part III MULTI-DIMENSIONAL IMAGING AND DISPLAY -- 11 Three-Dimensional Integral Imaging and Display 243 / Manuel Martƒinez-Corral, Adriǹ Dorado, Anabel LLavador, Genaro Saavedra and Bahram Javidi -- 11.1 Introduction 243 -- 11.2 Basic Theory 245 -- 11.3 The Plenoptic Function 246 -- 11.4 Methods for the Capture of the Plenoptic Field 249 -- 11.5 Walking in Plenoptic Space 255 -- 11.6 Reconstruction of Intensity Distribution in Different Depth Planes 257 -- 11.7 Implementation of the Integral Imaging Display Device 261 -- 11.8 Conclusion 262 -- 12 Image Formats of Various 3-D Displays 267 / Jung-Young Son, Chun-Hea Lee, Wook-Ho Son, Min-Chul Park and Bahram Javidi -- 12.1 Chapter Overview 267 -- 12.2 Introduction 268 -- 12.3 Multiplexing Schemes 269 -- 12.4 Image Formats for 3-D Imaging 271 -- 13 Ray-based and Wavefront-based 3D Representations for Holographic Displays 303 / Masahiro Yamaguchi and Koki Wakunami -- 13.1 Introduction 303 -- 13.2 Ray-based and Wavefront-based 3D Displays 303 -- 13.3 Conversion between Ray-based and Wavefront 3D Representations 307 -- 13.4 Hologram Printer Based on a Full-Parallax Holographic Stereogram 308 -- 13.5 Computational Holography Using a Ray-Sampling Plane 310 -- 13.6 Occlusion Culling for Computational Holography Using the Ray-Sampling Plane 313 -- 13.7 Scanning Vertical Camera Array for Computational Holography 315 -- 13.8 Conclusion and Future Issues 323 -- 14 Rigorous Diffraction Theory for 360 Computer-Generated Holograms 327 / Toyohiko Yatagai, Yusuke Sando and Boaz Jessie Jackin -- 14.1 Introduction 327 -- 14.2 Three-Dimensional Object and Its Diffracted Wavefront 328 -- 14.3 Point-Spread Function Approach for Spherical Holography 333 -- 14.4 Rigorous Point-Spread Function Approach 336.…”
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CCNA Security Study Guide : Exam 210-260. by McMillan, Troy

Table of Contents: “…-- Certification Exam Policies -- Assessment Test -- Answers to Assessment Test -- Chapter 1 Understanding Security Fundamentals -- Goals of Security -- Network Topologies -- Common Network Security Zones -- Summary -- Exam Essentials -- Review Questions -- Chapter 2 Understanding Security Threats -- Common Network Attacks -- Social Engineering -- Malware -- Data Loss and Exfiltration -- Summary -- Exam Essentials -- Review Questions -- Chapter 3 Understanding Cryptography -- Symmetric and Asymmetric Encryption -- Hashing Algorithms -- Key Exchange -- Public Key Infrastructure -- Summary -- Exam Essentials -- Review Questions -- Chapter 4 Securing the Routing Process -- Securing Router Access -- Implementing OSPF Routing Update Authentication -- Securing the Control Plane -- Summary -- Exam Essentials -- Review Questions -- Chapter 5 Understanding Layer 2 Attacks -- Understanding STP Attacks -- Understanding ARP Attacks -- Understanding MAC Attacks -- Understanding CAM Overflows -- Understanding CDP/LLDP Reconnaissance -- Understanding VLAN Hopping -- Understanding DHCP Spoofing -- Summary -- Exam Essentials -- Review Questions -- Chapter 6 Preventing Layer 2 Attacks -- Configuring DHCP Snooping -- Configuring Dynamic ARP Inspection -- Configuring Port Security -- Configuring STP Security Features -- Disabling DTP -- Verifying Mitigations -- Summary -- Exam Essentials -- Review Questions -- Chapter 7 VLAN Security -- Native VLANs -- PVLANs -- ACLs on Switches -- Summary -- Exam Essentials -- Review Questions -- Chapter 8 Securing Management Traffic.…”
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Disorders of the Patellofemoral Joint. by Fulkerson, John P.

Table of Contents: “…SOFT-TISSUE DYSPLASIANonarthritic Anterior Knee Pain; CLINICAL FEATURES; Symptoms; Physical Findings; RETINACULAR PAIN; PLICA OR SYNOVITIS; PATELLAR TENDINITIS (JUMPER'S KNEE); Prepatellar Bursitis; Retropatellar Tendon Bursitis; Pes Anserinus Bursitis; Fat Pad Syndrome; MENISCAL LESIONS; CRUCIATE LIGAMENT DEFICIENCY AND RECONSTRUCTION; HEMANGIOMA; RUNNERS' KNEE; ILIOTIBIAL FRICTION BAND SYNDROME; REFERRED PAIN; REHABILITATION OF SOFT-TISSUE PROBLEMS; Patellar Tilt Compression and the Excessive Lateral Pressure Syndrome; CLINICAL FEATURES; Signs and Symptoms.…”
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Node.js web development by Herron, David

Table of Contents: “…Node.js's algorithm for require (module)Module identifiers and path names; An example application directory structure; npm -- the Node.js package management system; The npm package format; Finding npm packages; Other npm commands; Installing an npm package; Initializing a new npm package; Maintaining package dependencies with npm; Fixing bugs by updating package dependencies; Declaring Node.js version compatibility; Updating outdated packages you've installed; Installing packages from outside the npm repository; Publishing an npm package; Package version numbers; A quick note about CommonJS.…”
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Introduction to Machine Learning with Python. by Chopra, Deepti

Table of Contents: “…Machine Learning Involves A Complex Process -- Insufficient training data -- Feasibility of Learning An Unknown Target Function -- Collection of Data -- Pre-processing of Data -- Finding The Model That Will Be Best For The Data -- Training and Testing Of The Developed Model Evaluation -- In Sample Error and Out of Sample Error -- APPLICATIONS OF MACHINE LEARNING -- Virtual Personal Assistants -- Traffic Prediction -- Online Transportation Networks -- Video Surveillance System -- Social Media Services -- People you May Know -- Face Recognition -- Similar Pins -- Sentiment Analysis…”
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Ruby Under a Microscope : Learning Ruby Internals Through Experiment. by Shaughnessy, Pat

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