Search Results - empirical (algorithmes OR algorithm)

Applications of GRA and grey prediction models

Table of Contents: “…Combined forecasting of regional logistics demand optimized by genetic algorithmApplication of grey relational analysis to expose individual student's cognitive difficulties in English public speaking; Mobile communication service income prediction method based on grey buffer operator theory; Using grey relational analysis to evaluate resource configuration and service ability for hospital on public private partnership model in China; The status of traditional medicine and national medicine in different areas of the China in 2011 with grey clustering analysis.…”
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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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Computational phraseology

Table of Contents: “…Monocollocable words : a type of language combinatory periphery / František Čermák -- Translation asymmetries of multiword expressions in machine translation : an analysis of the TED-MWE corpus / Johanna Monti, Mihael Arcan and Federico Sangati -- German constructional phrasemes and their Russian counterparts : a corpus-based study / Dmitrij Dobrovol'skij -- Computational phraseology and translation studies : from theoretical hypotheses to practical tools / Jean-Pierre Colson -- Computational extraction of formulaic sequences from corpora : two case studies of a new extraction algorithm / Alexander Wahl and Stefan Th. Gries -- Computational phraseology discovery in corpora with the MWETOOLKIT / Carlos Ramisch -- Multiword expressions in comparable corpora / Peter Ďurčo -- Collecting collocations from general and specialised corpora : a comparative analysis / Marie-Claude L'Homme and Daphnée Azoulay -- What matters more : the size of the corpora or their quality? …”
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Oil and gas exploration : methods and application

Table of Contents: “…Theory; 3.2.1. EMD Algorithm; 3.2.2. Gaussian Noise Model and EMD Signal Denoising; 3.2.3. …”
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Stairs 2006 : Proceedings of the Third Starting AI Researchers' Symposium

Table of Contents: “…Binarization Algorithms for Approximate Updating in Credal NetsOn Generalizing the AGM Postulates; The Two-Variable Situation Calculus; Base Belief Change and Optimized Recovery; Unsupervised Word Sense Disambiguation Using the WWW; Relational Descriptive Analysis of Gene Expression Data; Solving Fuzzy PERT Using Gradual Real Numbers; Approaches to Efficient Resource-Constrained Project Rescheduling; A Comparison of Web Service Interface Similarity Measures; Finding Alternatives Web Services to Parry Breakdowns; Posters; Smart Ride Seeker Introductory Plan…”
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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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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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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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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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Handbook of modeling high-frequency data in finance

Table of Contents: “…Handbook of Modeling High-Frequency Data in Finance; Contents; Preface; Contributors; Part One Analysis of Empirical Data; 1 Estimation of NIG and VG Models for High Frequency Financial Data; 1.1 Introduction; 1.2 The Statistical Models; 1.3 Parametric Estimation Methods; 1.4 Finite-Sample Performance via Simulations; 1.5 Empirical Results; 1.6 Conclusion; References; 2 A Study of Persistence of Price Movement using High Frequency Financial Data; 2.1 Introduction; 2.2 Methodology; 2.3 Results; 2.4 Rare Events Distribution; 2.5 Conclusions; References…”
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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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Harry Markowitz : selected works by Markowitz, Harry M., 1927-2023

Table of Contents: “…Computation of mean-semivariance efficient sets by the critical line algorithm. Data mining corrections -- ch. 7. Harry Markowitz Company. …”
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Advances in applied mechanics and materials : selected, peer reviewed papers from the International Conference on Mechanical Engineering (ICOME 2013), September 19-21, 2013, Matara...

Table of Contents: “…Validation of AWTSim as Aerodynamic Analysis for Design Wind Turbine BladeNumerical Study on the Influence of the Corner Curvature of Circular Micropillar on Microdroplet Size via a Dewetting Process; Redesign ITS Central Library through Smart Building; Optimization of Maximum Lift to Drag Ratio on Airfoil Design Based on Artificial Neural Network Utilizing Genetic Algorithm; Carbon Dioxide Effects on the Flammability Characteristics of Biogas; Heat Transfer Effectiveness and Coefficient of Pressure Drop on the Shell Side of a Staggered Elliptical Tubes Bank.…”
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Current development of mechanical engineering and energy : selected, peer reviewed papers from the 2013 International Symposium on Vehicle, Mechanical, and Electrical Engineering (...

Table of Contents: “…Simulation and Study on Ride Comfort of Articulated Dump Truck Based on Rigid-Flex CouplingThe Hall Automotive Wheel Speed Sensor and Simulation for its Signal Processing; Wind-Induced Vibration of the Rear-View Mirrors of Car at High Speed; Research on the Affection of Vehicle Lateral Stability Related to the Improved ABS; The Quantification Research of Engine Body Defect that Tested by Ultrasonic Phased Array; Analysis of Vehicle Interior Low-Frequency Noise Based on ATV; The Engine Oil Sump Radiated Noise Optimization Design; A Novel OFDM Radar Algorithm in Vehicular Environment…”
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Biomechanics : optimization, uncertainties and reliability by Kharmanda, Ghias, El Hami, Abdelkhalak

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Dynamic factor models

Table of Contents: “…Mixed-Frequency Estimators; 2.1 Extended Yule-Walker Estimators: The Stock Case; 2.2 Extended Yule-Walker Estimators: The General Case; 2.3 Maximum Likelihood Estimation and the EM Algorithm; 3. Projecting the MF Estimators on the Parameter Space.…”
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Stochastic modelling of electricity and related markets by Benth, Fred Espen, 1969-

Table of Contents: “…Maximum smooth forward curve. 7.3. Putting the algorithm to work -- 8. Modelling of the electricity futures market. 8.1. …”
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A practitioner's guide to asset allocation by Kinlaw, William, Kinlaw, William, Kritzman, Mark P., Turkington, David, 1983-

Table of Contents: “…-- Linear Hedging Strategies -- Nonlinear Hedging Strategies -- Economic Intuition -- References -- Notes -- Chapter 11: Illiquidity -- The Challenge -- Shadow Assets and Liabilities -- Expected Return and Risk of Shadow Allocations -- Other Considerations -- Case Study -- The Bottom Line -- Appendix -- References -- Notes -- Chapter 12: Risk in the Real World -- The Challenge -- End-of-Horizon Exposure to Loss -- Within-Horizon Exposure to Loss -- Regimes -- The Bottom Line -- References -- Notes -- Chapter 13: Estimation Error -- The Challenge -- Traditional Approaches to Estimation Error -- Stability-Adjusted Optimization -- Building a Stability-Adjusted Return Distribution -- Determining the Optimal Allocation -- Empirical Analysis -- The Bottom Line -- References -- Notes -- Chapter 14: Leverage versus Concentration -- The Challenge -- Leverage in Theory -- Leverage in Practice -- The Bottom Line -- References -- Notes -- Chapter 15: Rebalancing -- The Challenge -- The Dynamic Programming Solution -- The Markowitz-van Dijk Heuristic -- The Bottom Line -- References -- Notes -- Chapter 16: Regime Shifts -- The Challenge -- Predictability of Return and Risk -- Regime-Sensitive Allocation -- Tactical Asset Allocation -- The Bottom Line -- Appendix: Baum-Welch Algorithm -- References -- Notes -- Section Four: Addendum -- Chapter 17: Key Takeaways.…”
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Two-degree-of-freedom control systems : the Youla Parameterization approach by Keviczky, László, Bányász, Csilla

Table of Contents: “…Chapter 10 -- Process IdentificationTYPES OF MODELS; MODEL VALIDATION; PARAMETER ESTIMATION; 10.1 OFF-LINE PROCESS IDENTIFICATION METHODS; 10.2 RECURSIVE PROCESS IDENTIFICATION METHODS; 10.3 PROCESS IDENTIFICATION IN CLOSED-LOOP CONTROL; Chapter 11 -- Adaptive Regulators and Iterative Tuning; 11.1 ALGORITHMS OF ADAPTIVE LEARNING METHODS; 11.2 ITERATIVE METHODS: SIMULTANEOUS IDENTIFICATION AND CONTROL; 11.3 TRIPLE CONTROL; Appendix 1 -- Mathematical Summary; A.1.1 SOME BASIC THEOREMS OF MATRIX ALGEBRA; A.1.2 FOUNDATIONS OF VECTOR ANALYSIS; A.1.3 KRONECKER PRODUCT OF MATRICES.…”
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Empathic space : the computation of human-centric architecture

Table of Contents: “…Exhaustive Enumeration of Small Rectangular PlansEnumeration of Built Forms: An 'Archetypal Building'; An 'Architectural Morphospace'; The Deep Structure of the Picturesque; Form as Process; The Failure of the Top-Down Approach; Thinking Algorithmically; Crafting Space: Generative Processes of Architectural Configurations; Space Block Hanoi, 36 Old Streets district, Hanoi, Vietnam; Solutions You Cannot Draw; Bottom-Up Urban Design; Evolutionary Building Design; Reverse Engineering from the Shadow; Recent Projects with Adaptive Architecture; INTERACTIONS IN THE FIELD.…”
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