Tabla de Contenidos: “…Herramientas para el desarrollo de Redes sociales 3.3. Las redes P2P 4. Problemas de aplicación al proyecto Radio Friends 4.1. …”

Tabla de Contenidos: “…-- 7.8.4 Constrained LS Estimation -- 7.9 Robust Estimation -- Chapter 8 Cramér-Rao Bound -- 8.1 Cramér-Rao Bound and Fisher Information Matrix -- 8.1.1 CRB for Scalar Problem (P=1) -- 8.1.2 CRB and Local Curvature of Log-Likelihood -- 8.1.3 CRB for Multiple Parameters (p≥1) -- 8.2 Interpretation of CRB and Remarks -- 8.2.1 Variance of Each Parameter -- 8.2.2 Compactness of the Estimates -- 8.2.3 FIM for Known Parameters -- 8.2.4 Approximation of the Inverse of FIM -- 8.2.5 Estimation Decoupled From FIM -- 8.2.6 CRB and Nuisance Parameters -- 8.2.7 CRB for Non-Gaussian rv and Gaussian Bound -- 8.3 CRB and Variable Transformations -- 8.4 FIM for Gaussian Parametric Model xN(μ(θ),C(θ)) -- 8.4.1 FIM for x=s(θ)+w with wN(0,Cw) -- 8.4.2 FIM for Continuous-Time Signals in Additive White Gaussian Noise -- 8.4.3 FIM for Circular Complex Model -- Appendix A: Proof of CRB -- Appendix B: FIM for GaussianModel -- Appendix C: Some Derivatives for MLE and CRB Computations…”

Tabla de Contenidos: “…2.4.2 The work of Kuznetsov -- 2.4.3 The work of Weichselberger -- Acknowledgements -- Chapter 3 Structural judgements -- 3.1 Introduction -- 3.2 Irrelevance and independence -- 3.2.1 Epistemic irrelevance -- 3.2.2 Epistemic independence -- 3.2.3 Envelopes of independent precise models -- 3.2.4 Strong independence -- 3.2.5 The formalist approach to independence -- 3.3 Invariance -- 3.3.1 Weak invariance -- 3.3.2 Strong invariance -- 3.4 Exchangeability -- 3.4.1 Representation theorem for finite sequences -- 3.4.2 Exchangeable natural extension -- 3.4.3 Exchangeable sequences -- 3.5 Further reading -- 3.5.1 Independence -- 3.5.2 Invariance -- 3.5.3 Exchangeability -- Acknowledgements -- Chapter 4 Special cases -- 4.1 Introduction -- 4.2 Capacities and n-monotonicity -- 4.3 2-monotone capacities -- 4.4 Probability intervals on singletons -- 4.5 ∞-monotone capacities -- 4.5.1 Constructing ∞-monotone capacities -- 4.5.2 Simple support functions -- 4.5.3 Further elements -- 4.6 Possibility distributions, p-boxes, clouds and related models -- 4.6.1 Possibility distributions -- 4.6.2 Fuzzy intervals -- 4.6.3 Clouds -- 4.6.4 p-boxes -- 4.7 Neighbourhood models -- 4.7.1 Pari-mutuel -- 4.7.2 Odds-ratio -- 4.7.3 Linear-vacuous -- 4.7.4 Relations between neighbourhood models -- 4.8 Summary -- Chapter 5 Other uncertainty theories based on capacities -- 5.1 Imprecise probability = modal logic + probability -- 5.1.1 Boolean possibility theory and modal logic -- 5.1.2 A unifying framework for capacity based uncertainty theories -- 5.2 From imprecise probabilities to belief functions and possibility theory -- 5.2.1 Random disjunctive sets -- 5.2.1.1 Mass functions -- 5.2.1.2 Belief and plausibility functions -- 5.2.1.3 Belief functions and lower probabilities -- 5.2.2 Numerical possibility theory -- 5.2.2.1 Possibility distributions…”

Tabla de Contenidos: “…Rôle des technologies de l'information dans la croissance de la production et de la p..…”

Tabla de Contenidos: “…-- Implementation 2: Prospect Filtering -- Step 1: Data Preparation -- Step 2: Divide dataset Into Training and Testing Samples -- Step 3: Modeling Operator and Parameters -- Step 4: Configuring the Decision Tree Model -- Step 5: Process Execution and Interpretation -- 4.1.3 Conclusion -- 4.2 Rule Induction -- Approaches to Developing a Rule Set -- 4.2.1 How It Works -- Step 1: Class Selection -- Step 2: Rule Development -- Step 3: Learn-One-Rule -- Step 4: Next Rule -- Step 5: Development of Rule Set -- 4.2.2 How to Implement -- Step 1: Data Preparation -- Step 2: Modeling Operator and Parameters -- Step 3: Results Interpretation -- Alternative Approach: Tree-to-Rules -- 4.2.3 Conclusion -- 4.3 k-Nearest Neighbors -- 4.3.1 How It Works -- Measure of Proximity -- Distance -- Weights -- Correlation similarity -- Simple matching coefficient -- Jaccard similarity -- Cosine similarity -- 4.3.2 How to Implement -- Step 1: Data Preparation -- Step 2: Modeling Operator and Parameters -- Step 3: Execution and Interpretation -- 4.3.3 Conclusion -- 4.4 Naïve Bayesian -- 4.4.1 How It Works -- Step 1: Calculating Prior Probability P(Y) -- Step 2: Calculating Class Conditional Probability P(Xi|Y) -- Step 3: Predicting the Outcome Using Bayes' Theorem -- Issue 1: Incomplete Training Set -- Issue 2: Continuous Attributes -- Issue 3: Attribute Independence…”

Tabla de Contenidos: “…What If We Do Not Know p?…”

Tabla de Contenidos: “…Preface xv -- Acknowledgments xxi -- Contributors xxiii -- PART I CDN AND MEDIA STREAMING BASICS 1 -- 1 CLOUD-BASED CONTENT DELIVERY AND STREAMING 3 /Mukaddim Pathan -- 1.1 Introduction 3 -- 1.2 CDN Overview 5 -- 1.3 Workings of a CDN 10 -- 1.4 CDN Trends 21 -- 1.5 Research Issues 28 -- 1.6 Conclusion 29 -- References 29 -- 2 LIVE STREAMING ECOSYSTEMS 33 /Dom Robinson -- 2.1 Introduction 33 -- 2.2 Live Streaming Pre-Evolution 34 -- 2.3 Live, Linear, Nonlinear 35 -- 2.4 Media Streaming 37 -- 2.5 Related Network Models 38 -- 2.6 Streaming Protocol Success 43 -- 2.7 Platform Divergence and Codec Convergence 44 -- 2.8 Adaptive Bitrate (ABR) Streaming 45 -- 2.9 Internet Radio and HTTP 48 -- 2.10 Conclusion 48 -- References 49 -- 3 PRACTICAL SYSTEMS FOR LIVE STREAMING 51 /Dom Robinson -- 3.1 Introduction 51 -- 3.2 Common Concepts in Live Streaming 52 -- 3.3 The Practicals 56 -- 3.4 Conclusion 69 -- References 70 -- 4 EFFICIENCY OF CACHING AND CONTENT DELIVERY IN BROADBAND ACCESS NETWORKS 71 /Gerhard Haslinger -- 4.1 Introduction 71 -- 4.2 Options and Properties for Web Caching 73 -- 4.3 Zipf Laws for Requests to Popular Content 75 -- 4.4 Efficiency and Performance Modeling for Caches 76 -- 4.5 Effect of Replacement Strategies on Cache Hit Rates 78 -- 4.6 Replacement Methods Based on Request Statistics 81 -- 4.7 Global CDN and P2P Overlays for Content Delivery 84 -- 4.8 Summary and Conclusion 86 -- Acknowledgments 87 -- References 87 -- 5 ANYCAST REQUEST ROUTING FOR CONTENT DELIVERY NETWORKS 91 /Hussein A. …”

Tabla de Contenidos: “…State-Space Representation of an AR(p) -- 2.1.3. Characterization of AR(2) Processes -- 2.1.4. …”

Tabla de Contenidos: “…References 366 -- 12 Wireless Video Streaming 369 -- 12.1 Introduction 369 -- 12.2 Streaming System Architecture 370 -- 12.2.1 Video Compression 370 -- 12.2.2 Application Layer QoS Control 372 -- 12.2.3 Protocols 374 -- 12.2.4 Video/Audio Synchronization 376 -- 12.3 Delay-Constrained Retransmission 377 -- 12.3.1 Receiver-Based Control 378 -- 12.3.2 Sender-Based Control 378 -- 12.3.3 Hybrid Control 379 -- 12.3.4 Rate-Distortion Optimal Retransmission 379 -- 12.4 Considerations for Wireless Video Streaming 382 -- 12.4.1 Cross-Layer Optimization and Physical Layer Consideration 383 -- 12.5 P2P Video Streaming 384 -- References 385 -- Index 389.…”

“…Els acceleròmetres van obtenir diferències significatives en tots els nivells d'activitat física, així com en l'eficiència del son, amb majors nivells d'activitat física (sedentària p = 0,001; lleugera p = 0,017; moderada p = 0,009; vigorosa p = 0,001 i activitat física de moderada a vigorosa p = 0,002) i millor eficiència del son (p = 0,002) en aquells escolars que realitzen algun tipus d'activitat física esportiva. …”
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“…As{acute}i, en altas relaciones de nitr{acute}ogeno: f{acute}osforo (N:P) dominaron especies de la clase Chlorophyceae, mientras que en bajas relaciones de N:P prevalecieron las cianobacterias fijadoras de nitr{acute}ogeno. …”
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“…Se detectó mayor presencia de ARN de enterovirus en diabéticos tipo 1 al comienzo clínico de la enfermedad (9/34, 26,5por ciento) y en familiares de primer grado positivos para ICA (5/32, 15,6por ciento) que sus grupos controles correspondientes (2/68, 2,9por ciento; p= 0,0007 y 0/64, 0,0por ciento; p= 0,0033), así como asociación entre la presencia de ARN de enterovirus y cetoacidosis severa. …”

“…Pour esquisser une mise en perspective historique, ils se tournent aussi du côté d'Homère, P.-J. Hetzel, P. Berna, ainsi que des très récents N. …”

“…L’anàlisi estadístic va mostrar diferències significatives entre els grups en diferents variables psicopatològiques i relacionals (p.e., agressivitat, salud psicològica, autoestima, episodis traumàtics en la infantesa), presentant major disfuncionalitat interpersonal en el grup TLP amb una RS. …”
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“…A must-read for CEOs and HR professionals alike." -- Adi Godrej, Chairman, Godrej Group, and P..…”