Search Results - empirical algorithmics

Life sciences, information sciences

Table of Contents: “…Towards an Algorithmic Approach to Life Sciences /…”
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Advanced dynamic-system simulation : model -replication and Monte Carlo Studies by Korn, Granino A. (Granino Arthur), 1922-2013

Table of Contents: “…Demonstrations of Empirical Laws of Large Numbers --…”
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Market microstructure : confronting many viewpoints

Table of Contents: “…; 1.3 MARKET STRUCTURE AND ALGORITHMIC TRADING; 1.4 COSTS AND BENEFITS OF ALGORITHMIC TRADING; 1.5 EMPIRICAL EVIDENCE; 1.6 CONCLUSIONS; 1.7 APPENDIX; ACKNOWLEDGMENT; 2: Order Choice and Information in Limit Order Markets; 2.1 INTRODUCTION; 2.2 ORDER CHOICE WITH SYMMETRIC INFORMATION; 2.3 ORDER CHOICE WITH ASYMMETRIC INFORMATION; 2.4 THE INFORMATION CONTENT OF ORDERS.…”
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The Nature of Statistical Learning Theory by Vapnik, Vladimir N.

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Development of Modern Statistics and Related Topics : In Celebration of Prof Yaoting Zhang's 70th Birthday. by Zhang, Heping

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Testing the transparency benefits of inflation targeting : evidence from private sector forecasts by Crowe, Christopher (Christopher W.)

Table of Contents: “…Theoretical Framework -- III. Empirical Strategy and Results -- IV. Conclusions -- Appendix I. …”
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Decision making and operations research techniques for construction management by Tam, C. M., Tong, Thomas K. L., Zhang, Hong

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Ranking the Liveability of the World's Major Cities : the Global Liveable Cities Index (GLCI). by Tan, Khee Giap

Table of Contents: “…; 1.1 A More Liveable Life; 1.2 Thinking Broadly about the Concept of Liveability; 1.3 Thinking Sensibly about the Concept of Sustainability; 1.4 Preview; CHAPTER 2: THE EMPIRICAL FRAMEWORK: METHODOLOGY, DATA AND COMPUTATION ALGORITHM; 2.1 Comparison of Empirical Frameworks Used in Ranking; 2.2 Fleshing Out the Global Liveable Cities Index Framework; 2.2.1 Economic Vibrancy & Competitiveness; 2.2.2 Environmental Friendliness & Sustainability.…”
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Perspectives In Lattice Qcd : Proceedings of The Workshop.

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Wavelet Methods in Mathematical Analysis and Engineering. by Damlamian, Alain

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Handbook of Mathematical Induction. by Gunderson, David S.

Table of Contents: “…Chapter 14: Logic and languageChapter 15: Graphs; Chapter 16: Recursion and algorithms; Chapter 17: Games and recreations; Chapter 18: Relations and functions; Chapter 19: Linear and abstract algebra; Chapter 20: Geometry; Chapter 21: Ramsey theory; Chapter 22: Probability and statistics; Part III: Solutions and hints to exercises; Chapter 23: Solutions: Foundations; Chapter 24: Solutions: Inductive techniques applied to the infinite; Chapter 25: Solutions: Paradoxes and sophisms; Chapter 26: Solutions: Empirical induction; Chapter 27: Solutions: Identities.…”
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Energy Psychology : Explorations at the Interface of Energy, Cognition, Behavior, and Health. by Gallo, Fred P.

Table of Contents: “…Manual Muscle Testing and KinesiologyApplied Kinesiology Offshoots; Empirical Research on Manual Muscle Testing; Muscle Testing Proficiency; Integrity and Muscle Testing; Therapy and Diagnosis; Self-Testing; Therapeutic Algorithms vs. …”
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The digital coloniality of power : epistemic disobedience in the social sciences and the legitimacy of the digital age by Stingl, Alexander I.

Table of Contents: “…Acknowledgments -- Preface -- Introduction: before the decolonial turn to opportunity -- What a beautiful crochet reef : decolonial options and the delinking of social sciences as conceptual-empirical laboratories -- From class to identity and back again? …”
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Screenplay and narrative theory : the screenplectics model of complex narrative systems by Varotsis, George

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Nonparametric Statistics and Mixture Models : a Festschrift in Honor of Thomas P Hettmansperger. by Hunter, David

Table of Contents: “…Estimation of Hazard Functions with Shape Restrictions Using Regression SplinesMultivariate Models and the First Four Moments; An Empirical Study of Indirect Cross-Validation; Extensions of Reliability Theory; Rank Regression under Possible Model Misspecification; Iterative Conditional Maximization Algorithm for Nonconcave Penalized Likelihood; AUTHOR INDEX.…”
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Biological systematics : principles and applications by Brower, Andrew V. Z. (Andrew Van Zandt), 1962-, Schuh, Randall T.

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Mixed Models : Theory and Applications with R. by Demidenko, Eugene

Table of Contents: “…2.9 Derivatives of the log-likelihood function -- 2.10 Newton-Raphson algorithm -- 2.11 Fisher scoring algorithm -- 2.11.1 Simplified FS algorithm -- 2.11.2 Empirical FS algorithm -- 2.11.3 Variance-profile FS algorithm -- 2.12 EM algorithm -- 2.12.1 Fixed-point algorithm -- 2.13 Starting point -- 2.13.1 FS starting point -- 2.13.2 FP starting point -- 2.14 Algorithms for restricted MLE -- 2.14.1 Fisher scoring algorithm -- 2.14.2 EM algorithm -- 2.15 Optimization on nonnegative definite matrices -- 2.15.1 How often can one hit the boundary? …”
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Intensity Modulated Radiation Therapy : A Clinical Overview. by Das, Indra J.

Table of Contents: “…9.3 The optimization objectives -- 9.4 The optimization algorithms -- 9.4.1 The deterministic algorithms -- 9.4.2 The stochastic algorithms -- 9.5 The direct aperture optimization -- 9.6 The biological optimization -- 9.6.1 The radiobiological models for TCP, NTCP, EUD -- 9.7 Benefit and deficiencies in biological optimization -- 9.8 Robust optimization -- References -- Chapter 10 Dose calculation -- 10.1 Required accuracy in dose calculation -- 10.2 Dose calculation algorithms and classification -- 10.2.1 The empirical models -- 10.2.2 The semi-empirical, correction-based algorithms…”
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Cognitive foundations of musical pitch by Krumhansl, Carol L.

Table of Contents: “…Statistical analyses of tonal compositions Tonal distributions and tonal hierarchies; Tonal hierarchies, tonal consonance, and tonal distributions; 4. A KEY-FINDING ALGORITHM BASED ON TONAL HIERARCHIES; The key-finding algorithm; Application I: initial segments of preludes of J.S. …”
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Modelling forest systems

Table of Contents: “…Colour Plates; Principal Contributors; Preface; Part 1 Forest Reality and Modelling Strategies; 1 Suggestions for Choosing an Appropriate Level for Modelling Forest Stands; 2 Mapping Lodgepole Pine Site Index in Alberta; 3 Growth Modelling of Eucalyptus regnans for Carbon Accounting at the Landscape Scale; 4 Spatial Distribution Modelling of Forest Attributes Coupling Remotely Sensed Imagery and GIS Techniques; 5 Algorithmic and Interactive Approaches to Stand Growth Modelling; 6 Linking Process-based and Empirical Forest Models in Eucalyptus Plantations in Brazil.…”
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