Search Results - empirical (algorithmic OR algorithm)

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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Reviews in computational chemistry.

Table of Contents: “…Small Molecule Docking and Scoring; Introduction; Algorithms for Molecular Docking; The Docking Problem; Placing Fragments and Rigid Molecules; Flexible Ligand Docking; Handling Protein Flexibility; Docking of Combinatorial Libraries; Scoring; Shape and Chemical Complementary Scores; Force Field Scoring; Empirical Scoring Functions; Knowledge-Based Scoring Functions; Comparing Scoring Functions in Docking Experiments: Consensus Scoring.…”
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Handbook of high-frequency trading and modeling in finance

Table of Contents: “…4.1 Introduction4.2 Background; 4.2.1 Portfolios And Optimization; 4.2.2 Algorithmic Complexity; 4.2.3 Performance; 4.2.4 Ising Model; 4.2.5 Adiabatic Quantum Computing; 4.3 The models; 4.3.1 Financial Model; 4.3.2 Graph-Theoretic Combinatorial Optimization Models; 4.3.3 Ising And Qubo Models; 4.3.4 Mixed Models; 4.4 Methods; 4.4.1 Model Implementation; 4.4.2 Input Data; 4.4.3 Mean-Variance Calculations; 4.4.4 Implementing The Risk Measure; 4.4.5 Implementation Mapping; 4.5 Results; 4.5.1 The Simple Correlation Model; 4.5.2 The Restricted Minimum-Risk Model.…”
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Data Analysis and Applications 1 : New and Classical Approaches. by Skiadas, Christos

Table of Contents: “…From statistical learning theory to empirical validation…”
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Rationality and decision making : from normative rules to heuristics

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Extreme events : observations, modeling, and economics

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Romance syntax, semantics and L2 acquisition : selected papers from the 30th Linguistic Symposium on Romance Languages : Gainesville, Florida, February 2000

Table of Contents: “…Discussion -- 6.1 The learning algorithm -- 6.2 Conceptualizing Learning.…”
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Qualitative Spatial and Temporal Reasoning. by Ligozat, Gérard

Table of Contents: “…Ladkin and Reinefeld's algorithm; 2.4.2. Empirical study of the consistency problem; 2.5. …”
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Artificial intelligence research and development : current challenges, new trends and applications

Table of Contents: “…-- An Argumentation Approach for Agreement Analysis in Reddit Debates -- Tweet Sentiment Visualization and Classification Using Manifold Dimensionality Reduction -- N-Channel Convolutional Neural Networks for Irony Detection in Twitter -- A New Algorithm for Speech Enhancement Based on Multivariate Empirical Mode Decomposition -- Classifying and Generalizing Successful Parameter Combinations for Sound Design -- A Visual Distance for WordNet -- Enhancing Text Spotting with a Language Model and Visual Context Information -- Cognitive Systems and Agents -- What Is the Physics of Intelligence? …”
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Probability, Finance and Insurance : Proceedings of a Workshop. by Lai, T. L.

Table of Contents: “…Summary; References; Phase changes in random recursive structures and algorithms; 1. Phase changes related to the Poisson distribution; 2. …”
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Computational materials engineering : achieving high accuracy and efficiency in metals processing simulations by Pietrzyk, Maciej, 1947-, Madej, Łukasz, Rauch, Lukasz, Szeliga, Danuta

Table of Contents: “…Toward Increase of the Efficiency of Modeling -- 2.1 Improvement of Numerical Algorithms -- 2.1.1 Metamodeling -- 2.1.2 Inverse analysis -- 2.1.2.1 General formulation of the inverse problem -- 2.1.2.2 Regularization -- 2.1.2.3 Methods of regularizations -- 2.1.2.4 Numerical computations and regularization in the finite-dimension setting -- 2.1.3 Sensitivity analysis -- 2.1.3.1 Local SA -- 2.1.3.2 Global SA -- 2.1.3.3 The implementation of SA algorithms -- 2.1.3.4 A strategy for the identification of the model parameters -- 2.2 Improvement of Hardware -- 2.2.1 General idea of high-performance computing -- 2.2.2 Development of clusters -- 2.2.3 Development of heterogeneous architectures -- 2.2.4 Development of grid environments -- 3. …”
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Inside the black box : a simple guide to quantitative and high frequency trading by Narang, Rishi K, 1974-

Table of Contents: “…Final Thoughts on OptimizationOutput of Portfolio Construction Models; How Quants Choose a Portfolio Construction Model; Summary; Notes; Chapter 7 Execution; Order Execution Algorithms; Aggressive versus Passive; Other Order Types; Large Order versus Small Order; Where to Send an Order; Trading Infrastructure; Summary; Notes; Chapter 8 Data; The Importance of Data; Types of Data; Sources of Data; Cleaning Data; Storing Data; Summary; Notes; Chapter 9 Research; Blueprint for Research: The Scientific Method; Idea Generation; Testing; In-Sample Testing, a.k.a. …”
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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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Introduction to OFDM receiver design and simulation by Liu, Y. J.

Table of Contents: “…References-7 Error-Correcting Codes and Interleaver-7.1 Introduction-7.2 Linear Block Codes-7.2.1 Generator Matrix-7.2.2 Parity Check Matrix-7.2.3 Syndrome-7.2.4 Error Correction-7.2.5 Hamming Codes-7.3 Cyclic Codes-7.3.1 Generator Polynomial-7.3.2 Syndrome Polynomial-7.4 Convolutional Code-7.4.1 Convolutional Encoder-7.4.2 Convolutional Decoder and Viterbi Algorithm-7.4.3 Convolutional Code in the IEEE 802.11a-7.4.4 Punctured Convolutional Codes-7.5 Interleaver-7.5.1 Illustration of an Interleaver-7.5.2 Interleaver Used in the IEEE 802.11a…”
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Predictive Modeling of Pharmaceutical Unit Operations. by Pandey, Preetanshu

Table of Contents: “…3.5.1.2 Improvements in the efficiency of solution methods, algorithms, and compute architecture3.5.1.3 Advancement in analysis techniques with commercial and open source software; 3.5.2 Case study: creating a material model; 3.6 Summary and outlook; Acknowledgements; References; 4 Dry granulation process modeling; 4.1 Introduction; 4.2 Challenges in dry granulation modeling and recent progress; 4.2.1 Roller compaction technology; 4.2.2 Theoretical background; 4.2.3 Common problems of roller compaction and progress; 4.3 Modeling tools; 4.3.1 DEM modeling; 4.3.2 FEM modeling.…”
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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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Nuclear Magnetic Resonance Spectroscopy Of Liquid Crystals.

Table of Contents: “…Spectral analysis using Evolutionary Algorithms -- 1. 7. Conclusions -- Acknowledgments -- References -- 2. …”
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Introduction to Bayesian estimation and copula models of dependence by Shemyakin, Arkady

Table of Contents: “…4 Markov Chain Monte Carlo Methods4.1 Markov Chain Simulations for Sun City and Ten Coins; 4.2 Metropolis-Hastings Algorithm; 4.3 Random Walk MHA; 4.4 Gibbs Sampling; 4.5 Diagnostics of MCMC; 4.5.1 Monitoring Bias and Variance of MCMC; 4.5.2 Burn-in and Skip Intervals; 4.5.3 Diagnostics of MCMC; 4.6 Suppressing Bias and Variance; 4.6.1 Perfect Sampling; 4.6.2 Adaptive MHA; 4.6.3 ABC and Other Methods; 4.7 Time-to-Default Analysis of Mortgage Portfolios; 4.7.1 Mortgage Defaults; 4.7.2 Customer Retention and Infinite Mixture Models; 4.7.3 Latent Classes and Finite Mixture Models.…”
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Data Mining and Statistics for Decision Making by Tufféry, Stéphane, Tufféry, Stéphane

Table of Contents: “…Learning algorithms -- 8.7. The main neural networks -- Automatic clustering methods -- 9.1. …”
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