Search Results - empirical ((algorithms OR algorithms) OR algorithmic)

Pattern recognition : a quality of data perspective by Homenda, Władysław, Pedrycz, Witold, 1953-

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The handbook of news analytics in finance

Table of Contents: “…Kalev and Huu Nhan Duong -- Equity portfolio risk estimation using market information and sentiment / Leela Mitra, Gautam Mitra and Dan diBartolomeo -- Incorporating news into algorithmic trading strategies : increasing the signal-to-noise ratio / Richard Brown -- Are you still trading without news? …”
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Multivariate statistics : proceedings of the 6th Tartu Conference, Tartu, Estonia, 19-22 August 1999

Table of Contents: “…s F-statistic: A simulation studyZero-boundary Voronoi partitions -- On expected values of fourth-degree matrix products of a multinormal matrix variate -- A multivariate Buckley-James estimator -- A new algorithm of the linear discriminant function using integer programming -- Robustification of “approximating approachâ€? …”
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A Case for the Existence of God. by Overman, Dean L.

Table of Contents: “…Chapter 11: Recorded Experiences of Encounters with the Divine Bear Witness to a Way of Knowing that Includes Kierkegaard's KENDSKAB, BUBER'S I-Thou, OTTO'S Wholly Other, AND MARCEL'S MysteryChapter 12: THESE NINE WITNESSES TESTIFY TO ANOTHER WAY OF KNOWING THAT IS COMPATIBLE WITH THE EMPIRICAL AND THE METAPHYSICAL RATIONAL WAYS OF KNOWING, BUT IS BEYOND THE DESCRIBABLE AND REQUIRES PERSO; Chapter 13: CONCLUDING REFLECTIONS AND SUMMARY; AFTERWORD; Appendix A: THE NEW MATHEMATICS OF ALGORITHMIC INFORMATION THEORY IS RELEVANT TO THEORIES CONCERNING THE FORMATION OF THE FIRST LIVING MATTER.…”
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Systemic Risk from Global Financial Derivatives. by Markose, Sheri M.

Table of Contents: “…Empirical (Small World) Core-Periphery Network Algorithm; 4. …”
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Mechanisms and games for dynamic spectrum allocation

Table of Contents: “…7.3.10 Other equilibrium concepts -- 7.4 Learning equilibria -- 7.4.1 Learning Nash equilibria -- 7.4.2 Learning epsilon-equilibrium -- 7.4.3 Learning coarse correlated equilibrium -- 7.4.4 Learning satisfaction equilibrium -- 7.4.5 Discussion -- 7.5 Conclusion -- References -- II Cognitive radio and sharing of unlicensed spectrum -- 8 Cooperation in cognitiveradio networks: from accessto monitoring -- 8.1 Introduction -- 8.1.1 Cooperation in cognitive radio: mutual benefits and costs -- 8.2 An overview of coalitional game theory -- 8.3 Cooperative spectrum exploration and exploitation -- 8.3.1 Motivation -- 8.3.2 Basic problem -- 8.3.3 Joint sensing and access as a cooperative game -- 8.3.4 Coalition formation algorithm for joint sensing and access -- 8.3.5 Numerical results -- 8.4 Cooperative primary user activity monitoring -- 8.4.1 Motivation -- 8.4.2 Primary user activity monitoring: basic model -- 8.4.3 Cooperative primary user monitoring -- 8.4.4 Numerical results -- 8.5 Summary -- Acknowledgements -- Copyright notice -- References -- 9 Cooperative cognitive radios with diffusion networks -- 9.1 Introduction -- 9.2 Preliminaries -- 9.2.1 Basic tools in convex and matrix analysis -- 9.2.2 Graphs -- 9.3 Distributed spectrum sensing -- 9.4 Iterative consensus-based approaches -- 9.4.1 Average consensus algorithms -- 9.4.2 Acceleration techniques for iterative consensus algorithms -- 9.4.3 Empirical evaluation -- 9.5 Consensus techniques based on CoMAC -- 9.6 Adaptive distributed spectrum sensing based on adaptive subgradient techniques -- 9.6.1 Distributed detection with adaptive filters -- 9.6.2 Set-theoretic adaptive filters for distributed detection -- 9.6.3 Empirical evaluation -- 9.7 Channel probing -- 9.7.1 Introduction -- 9.7.2 Admissibility problem -- 9.7.3 Power and admission control algorithms.…”
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Volatility Surface and Term Structure : High-profit Options Trading Strategies. by Lai, Kin Keung

Table of Contents: “…Cover; Title; Copyright; Contents; List of figures; List of tables; Preface; 1 Introduction; 1.1 Implied volatility; 1.2 Local volatility model; 1.3 Stochastic volatility model; 2 A novel model-free term structure for stock prediction; 2.1 Introduction; 2.2 Volatility model; 2.3 Model-free term structure; 2.4 Empirical tests; 2.5 Conclusions; 3 An adaptive correlation Heston model for stock prediction; 3.1 Introduction; 3.2 Adaptive correlation coefficient model; 3.3 Empirical tests; 3.4 Conclusions; 4 The algorithm to control risk using options; 4.1 Introduction.…”
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Other geographies : the influences of Michael Watts

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Progress in financial markets research

Table of Contents: “…Optimization of Technical Rules by Genetic Algorithms -- 8.5. Empirical Results -- Conclusion -- References -- Chapter 9: MODERN ANALYSIS OF FLUCTUATIONSIN FINANCIAL TIME SERIES AND BEYOND -- 9.1. …”
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Modeling semi-arid water-soil-vegetation systems by Wang, Xixi

Table of Contents: “…3.6 Topsoil erosion -- 3.6.1 Aeolian erosion -- 3.6.2 Fluvial erosion -- 3.6.3 Effects of physical and biological crusts on erosion -- 3.7 Summary and discussion -- References -- Chapter 4 Mathematical models -- 4.1 Overview -- 4.2 Comparisons of existing models -- 4.2.1 HYDRUS-1D -- 4.2.2 SWAT -- 4.2.3 SWAP -- 4.2.4 Comparisons -- 4.3 Model selection -- 4.4 Development of new algorithms -- 4.4.1 Physical crusts -- 4.4.2 Biocrusts -- 4.4.3 Low-moisture soils -- 4.4.4 Dry soil layers -- 4.4.5 The SWAP-E model -- 4.5 Measures of model performance -- 4.5.1 Empirical judgement…”
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Pattern recognition in industry by Bhagat, Phiroz

Table of Contents: “…Preface -- -- Acknowledgments -- About the Author -- <CENTER>Part I Philosophy</CENTER> -- -- CHAPTER 1: INTRODUCTION -- CHAPTER 2: PATTERNS WITHIN DATA -- CHAPTER 3: ADAPTING BIOLOGICAL PRINCIPLES FOR DEPLOYMENT IN COMPUTATIONAL SCIENCE -- CHAPTER 4: ISSUES IN PREDICTIVE EMPIRICAL MODELING -- <CENTER>Part II Technology</CENTER> -- CHAPTER 5: SUPERVISED LEARNINGCORRELATIVE NEURAL NETS -- CHAPTER 6: UNSUPERVISED LEARNING: AUTO-CLUSTERING AND SELF-ORGANIZING DATA -- CHAPTER 7: CUSTOMIZING FOR INDUSTRIAL STRENGTH APPLICATIONS -- CHAPTER 8: CHARACTERIZING AND CLASSIFYING TEXTUAL MATERIAL -- CHAPTER 9: PATTERN RECOGNITION IN TIME SERIES ANALYSIS -- CHAPTER 10: GENETIC ALGORITHMS -- <CENTER>Part III Case Studies</CENTER> -- CHAPTER 11: HARNESSING THE TECHNOLOGY FOR PROFITABILITY -- CHAPTER 12: REACTOR MODELING THROUGH IN SITU ADAPTIVE LEARNING -- CHAPTER 13: PREDICTING PLANT STACK EMISSIONS TO MEET ENVIRONMENTAL LIMITS -- CHAPTER 14: PREDICTING FOULING/COKING IN FIRED HEATERS -- CHAPTER 15: PREDICTING OPERATIONAL CREDITS -- CHAPTER 16: PILOT PLANT SCALE-UP BY INTERPRETING TRACER DIAGNOSTICS -- CHAPTER 17: PREDICTING DISTILLATION TOWER TEMPERATURES: MINING DATA FOR CAPTURING DISTINCT OPERATIONAL VARIABILITY -- CHAPTER 18: ENABLING NEW PROCESS DESIGN BASED ON LABORATORY DATA -- CHAPTER 19: FORECASTING PRICE CHANGES OF A COMPOSITE BASKET OF COMMODITIES -- CHAPTER 20: CORPORATE DEMOGRAPHIC TREND ANALYSIS -- EPILOGUE -- <CENTER>Appendices</CENTER> -- APPENDIX A1: THERMODYNAMICS AND INFORMATION THEORY -- APPENDIX A2: MODELING.…”
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Biomechanics : optimization, uncertainties and reliability by Kharmanda, Ghias, El Hami, Abdelkhalak

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Enhance Oil and Gas Exploration with Data-Driven Geophysical and Petrophysical Models. by Holdaway, Keith R.

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Genomic Signal Processing. by Shmulevich, Ilya

Table of Contents: “…5.2 Complexity Regularization5.2.1 Regularization of the Error; 5.2.2 Structural Risk Minimization; 5.2.3 Empirical Complexity ; 5.3 Feature Selection; 5.3.1 Peaking Phenomenon; 5.3.2 Feature Selection Algorithms; 5.3.3 Impact of Error Estimation on Feature Selection; 5.3.4 Redundancy; 5.3.5 Parallel Incremental Feature Selection; 5.3.6 Bayesian Variable Selection; 5.4 Feature Extraction; Bibliography; 6 Clustering; 6.1 Examples of Clustering Algorithms; 6.1.1 Euclidean Distance Clustering; 6.1.2 Self-Organizing Maps; 6.1.3 Hierarchical Clustering; 6.1.4 Model-Based Cluster Operators.…”
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Discourse, of course : an overview of research in discourse studies

Table of Contents: “…/ Elisabeth Le -- Implicit and explicit coherence relations / Maite Taboada -- Style and culture in quantitative discourse analysis / Martin Kaltenbacher -- Devices of probability and obligation in text types / Xinzhang Yang -- Analysis and evaluation of argumentative discourse / Frans H. van Eemeren and Bart Garssen -- Embodied cognition, discourse, and dual coding theory : new directions / Mark Sadoski -- The cognition of discourse coherence / Ted Sanders and Wilbert Spooren -- A computational psycholinguistic algorithm to measure cohesion in discourse / Max M. …”
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Retail futures : the good, the bad and the ugly of the digital transformation

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Computer-Aided Learning and Analysis for COVID-19 Disease. by Dhiman, Gaurav

Table of Contents: “…Cover -- Special issue (part 1) on computer-aided learning and analysis for COVID-19 disease -- COVID-19: risk prediction through nature inspired algorithm -- E-biomedical: a positive prospect to monitor human healthcare system using blockchain technology -- Pattern analysis: predicting COVID-19 pandemic in India using AutoML -- Predicting future diseases based on existing health status using link prediction -- Detection of COVID-19 cases through X-ray images using hybrid deep neural network -- Time series analysis of COVID-19 cases…”
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The New Politics of Visibility : Spaces, Actors, Practices and Technologies in The Visible. by Brighenti, Andrea Mubi

Table of Contents: “…Three mediated visibility regimes and their differing regimes of recognition -- Broadcast visibility, representational recognition regime -- Networked visibility, enabling (mis)recognition regime -- Algorithmic visibility, paradoxical recognition regime -- Conclusion -- Notes -- References -- 5 The Democratization of Visibility Capital: Face in the Age of Its Automated Technical Reproducibility -- Asymmetry and recognition -- What is visibility capital? …”
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Robust Battery Management Systems. by Balasingam, Balakumar

Table of Contents: “…-- 1.4.1 Modularized Approach -- 1.4.2 Illustration of Algorithms Through Matlab Simulation…”
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Qualitative Comparative Analysis : An Introduction To Research Design And Application. by Mello, Patrick A.

Table of Contents: “…Related Methods and Approaches -- Notes -- 9 QCA and Its Critics -- Analytical Robustness -- Comparisons with Other Methods -- Formalization and Algorithms -- Causal Analysis and Solution Terms -- Recognizing QCA's Strengths and Limitations -- Notes -- 10 Guiding Principles for QCA Research -- Good Research Practice -- Documenting and Communicating QCA Results -- QCA Resources -- Current Developments -- The Way Ahead -- Notes -- Appendix: Link to the Online R Manual -- Glossary -- A -- B -- C -- D -- E -- F -- G -- I -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- X-Y -- References…”
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