Sökresultat - "algorithm"

Resources utilization and productivity enhancement case studies / av Mital, Anil, Pennathur, Arunkumar

Innehållsförteckning: “…The case for simplifying the maintenance process through product design / Anoop Desai and Anil Mital -- 2. A disassembly algorithm to maximize resource utilization: a case study / Anoop Desai and Anil Mital -- 3. …”
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The fifth decade of cardiac pacing

Innehållsförteckning: “…Serge Barold -- Diagnostic algorithms for the detection of ventricular tachycardia by implanted pacemakers / S. …”
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Design for embedded image processing on FPGAs av Bailey, Donald G. (Donald Graeme), 1962-

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Data mining techniques for marketing, sales, and customer relationship management / av Berry, Michael J. A.

Innehållsförteckning: “…-- The virtuous cycle of data mining -- Data mining methodology and best practices -- Data mining applications in marketing and customer relationship management -- The lure of statistics: data mining using familiar tools -- Decision trees -- Artificial neural networks -- Nearest neighbor approaches : memory-based reasoning and collaborative filtering -- Market basket analysis and association rules -- Link analysis -- Automatic Cluster detection -- Knowing when to worry: hazard functions and survival analysis in marketing -- Genetic algorithms -- Data mining throughout the customer life cycle -- Data warehousing, OLAP, and data mining -- Building the data mining environment -- Preparing data for mining -- Putting data mining to work.…”
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What intelligence tests miss the psychology of rational thought / av Stanovich, Keith E., 1950-

Innehållsförteckning: “…Bush's mind : hints at what IQ tests miss -- Dysrationalia : separating rationality and intelligence -- The reflective mind, the algorithmic mind, and the autonomous mind -- Cutting intelligence down to size -- Why intelligent people doing foolish things is no surprise -- The cognitive miser : ways to avoid thinking -- Framing and the cognitive miser -- Myside processing : heads I win, tails I win too! …”
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Military operations, health and technology

Innehållsförteckning: “…Cummings -- Resolution of the bi-criteria military unit pathfinding problem applying MOACO algorithms / A.M. Mora, P.A. Castillo, J.J. Merelo -- Sense of community aboard : what can military leaders do to enhance it and how does it affect crew performance? …”
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Proceedings of the Scientific-Practical Conference "Research and Development - 2016"

Innehållsförteckning: “…Multimodal Control System of Active Lower Limb Exoskeleton with Feedback -- Investigation and Development of Methods for Improving Robustness of Automatic Speech Recognition Algorithms in Complex Acoustic Environments -- Smart Endoscope—Firmware Complex for Real-Time Analysis and Recognition of Endoscopic Videos -- The Development of Constructive-Technological Decisions on Creation of a Family of Microelectronic Elements on the «Silicon on Insulator» (SOI) Structures to Provide the Ability to Create Sensors of External Influences of a Various Functional Purpose -- Thermopile IR Sensor Arrays -- Development Signal Processing Integrated Circuit for Position Sensors with High Resolution -- Brain-Controlled Biometric Signals Employed to Operate External Technical Devices -- Improving Talent Management with Automated Competence Assessment: Research Summary.…”
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Recent advances in financial engineering proceedings of the KIER-TMU International Workshop on Financial Engineering 2009 : Otemachi, Sankei Plaza, Tokyo, 3-4 August 2009 /

Innehållsförteckning: “…Nakano -- New unified computational algorithm in a high-order asymptotic expansion scheme / K. …”
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Venice Variations : Tracing the Architectural Imagination av Psarra, Sophia

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Data mining practical machine learning tools and techniques / av Witten, I. H. (Ian H.)

Innehållsförteckning: “…Output: knowledge representation; 4. Algorithms: the basic methods; 5. Credibility: evaluating what's been learned -- Part II. …”
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Anti-fragile ICT Systems av Hole, Kjell Jørgen

Innehållsförteckning: “…Preface -- Part I: The Concept of Anti-Fragility: 1 Introduction -- 2 Achieving Anti-Fragility -- 3 The Need to Build Trust -- 4 Principles Ensuring Anti-Fragility -- Part II: Anti-Fragility to Downtime: 5 Anti-Fragile Cloud Solutions -- 6 An Anti-Fragile e-Government System -- 7 Anti-Fragile Cloud-Based Telecom Systems -- Part III: Anti-Fragility to Malware: 8 Robustness to Malware Spreading -- 9 Robustness to Malware Reinfections -- 10 Anti-Fragility to Malware Spreading -- Part IV: Anomaly Detection: 11 The Cortical Learning Algorithm -- 12 Detecting Anomalies with the CLA -- Part V: Future Anti-Fragile Systems: 13 Summary and Future Work -- About the Author -- References -- Index.…”
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Mixed models theory and applications with R / av Demidenko, Eugene, 1948-

Innehållsförteckning: “…331.16 Software and books361.17 Summary points 372 MLE for LME Model 412.1 Example: Weight versus height 422.2 The model and log-likelihood functions 452.3 Balanced random-coefficient model 602.4 LME model with random intercepts 642.5 Criterion for the MLE existence 722.6 Criterion for positive definiteness of matrix D742.7 Preestimation bounds for variance parameters 772.8 Maximization algorithms792.9 Derivatives of the log-likelihood function 812.10 Newton--Raphson algorithm 832.11 Fisher scoring algorithm852.12 EM algorithm 882.13 Starting point 932.14 Algorithms for restricted MLE 962.15 Optimization on nonnegative definite matrices 972.16 lmeFS and lme in R 1082.17 Appendix: Proof of the MLE existence 1122.18 Summary points 1153 Statistical Properties of the LME Model 1193.1 Introduction 1193.2 Identifiability of the LMEmodel 1193.3 Information matrix for variance parameters 1223.4 Profile-likelihood confidence intervals 1333.5 Statistical testing of the presence of random effects 1353.6 Statistical properties of MLE 1393.7 Estimation of random effects 1483.8 Hypothesis and membership testing 1533.9 Ignoring random effects 1573.10 MINQUE for variance parameters 1603.11 Method of moments 1693.12 Variance least squares estimator 1733.13 Projection on D+ space 1783.14 Comparison of the variance parameter estimation 1783.15 Asymptotically efficient estimation for [beta] 1823.16 Summary points 1834 Growth Curve Model and Generalizations 1874.1 Linear growth curve model 1874.2 General linear growth curve model 2034.3 Linear model with linear covariance structure 2214.4 Robust linear mixed effects model 2354.5 Appendix: Derivation of the MM estimator 2434.6 Summary points 2445 Meta-analysis Model 2475.1 Simple meta-analysis model 2485.2 Meta-analysis model with covariates 2755.3 Multivariate meta-analysis model 2805.4 Summary points 2916 Nonlinear Marginal Model 2936.1 Fixed matrix of random effects 2946.2 Varied matrix of random effects 3076.3 Three types of nonlinear marginal models 3186.4 Total generalized estimating equations approach 3236.5 Summary points 3307 Generalized Linear Mixed Models 3337.1 Regression models for binary data 3347.2 Binary model with subject-specific intercept 3577.3 Logistic regression with random intercept 3647.4 Probit model with random intercept 3847.5 Poisson model with random intercept 3887.6 Random intercept model: overview 4037.7 Mixed models with multiple random effects 4047.8 GLMM and simulation methods 4137.9 GEE for clustered marginal GLM 4187.10 Criteria for MLE existence for binary model 4267.11 Summary points 4318 Nonlinear Mixed Effects Model 4358.1 Introduction 4358.2 The model 4368.3 Example: Height of girls and boys 4398.4 Maximum likelihood estimation 4418.5 Two-stage estimator 4448.6 First-order approximation 4508.7 Lindstrom--Bates estimator 4528.8 Likelihood approximations 4578.9 One-parameter exponential model 4608.10 Asymptotic equivalence of the TS and LB estimators 4678.11 Bias-corrected two-stage estimator 4698.12 Distribution misspecification 4718.13 Partially nonlinear marginal mixed model 4748.14 Fixed sample likelihood approach4758.15 Estimation of random effects and hypothesis testing 4788.16 Example (continued) 4798.17 Practical recommendations 4818.18 Appendix: Proof of theorem on equivalence 4828.19 Summary points 4859 Diagnostics and Influence Analysis 4899.1 Introduction 4899.2 Influence analysis for linear regression 4909.3 The idea of infinitesimal influence 4939.4 Linear regression model 4959.5 Nonlinear regression model 5129.6 Logistic regression for binary outcome 5179.7 Influence of correlation structure 5269.8 Influence of measurement error 5279.9 Influence analysis for the LME model 5309.10 Appendix: MLE derivative with respect to σ2 5369.11 Summary points 53710 Tumor Regrowth Curves 54110.1 Survival curves 54310.2 Double--exponential regrowth curve 54510.3 Exponential growth with fixed regrowth time 55910.4 General regrowth curve 56510.5 Double--exponential transient regrowth curve 56610.6 Gompertz transient regrowth curve 57310.7 Summary points 57611 Statistical Analysis of Shape 57911.1 Introduction 57911.2 Statistical analysis of random triangles 58111.3 Face recognition 58411.4 Scale-irrelevant shape model 58511.5 Gorilla vertebrae analysis 58911.6 Procrustes estimation of the mean shape 59111.7 Fourier descriptor analysis 59811.8 Summary points 60712 Statistical Image Analysis 60912.1 Introduction 60912.2 Testing for uniform lighting 61212.3 Kolmogorov--Smirnov image comparison 61612.4 Multinomial statistical model for images 62012.5 Image entropy 62312.6 Ensemble of unstructured images 62712.7 Image alignment and registration 64012.8 Ensemble of structured images 65212.9 Modeling spatial correlation 65412.10 Summary points 66013 Appendix: Useful Facts and Formulas 66313.1 Basic facts of asymptotic theory 66313.2 Some formulas of matrix algebra 67013.3 Basic facts of optimization theory 674References 683Index 713.…”
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Natural Computing and Beyond Winter School Hakodate 2011, Hakodate, Japan, March 2011 and 6th International Workshop on Natural Computing, Tokyo, Japan, March 2012, Proceedings /

Innehållsförteckning: “…Natural Computing -- Ethological response to periodic stimulation in Chara and Brepharisma -- Adaptive path-finding and transport network formation by the amoeba-like organism Physarum -- Aggregate "Calculation" in Economic Phenomena: Distributions and Fluctuations -- Towards Co-evolution of Information, Life and Artifcial Life -- Harness the Nature for Computation -- Things Theory of Art Should Learn From Natural Computing -- Study on the use of Evolutionary Techniques for inference in Gene Regulatory Networks -- Reconstruction of Gene Regulatory Networks from Gene Expression Data using Decoupled Recurrent Neural Network Model -- Design and control of synthetic biological systems -- Satellite Symposium on Computational Aesthetics -- Preface–Natural Computing and Computational Aesthetics -- The Significance of Natural Computing for Considering Computational Aesthetics of Nature -- Perceiving the Gap: asynchronous coordination of plural algorithms and disconnected logical types in ambient space -- Aesthetic Aspects of Technology-mediated Self-awareness Experiences.…”
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Bayesian estimation and tracking a practical guide / av Haug, Anton J., 1941-

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The dynamic brain : an exploration of neuronal variability and its functional significance /

Innehållsförteckning: “…A mixed-filter algorithm for dynamically tracking learning from multiple behavioral and neurophysiological measures / Todd P. …”
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Probability, random processes, and statistical analysis av Kobayashi, Hisashi

Innehållsförteckning: “…Estimation and decision theory; 19. Estimation algorithms; Part V. Applications and Advanced Topics: 20. …”
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Bayesian methods in cosmology

Innehållsförteckning: “…Foundations and algorithms / John Skilling -- Simple applications of Bayesian methods / D.S. …”
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Better living through economics

Innehållsförteckning: “…Bailey -- Deferred-acceptance algorithms : history, theory, practice / Alvin E. Roth -- Economics, economists, and antitrust : a tale of growing influence / Lawrence J. …”
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Model-Based Demography Essays on Integrating Data, Technique and Theory / av Burch, Thomas K.

Innehållsförteckning: “…The Cohort-Component Projection Algorithm: Technique, Model and Theory -- 10. The Cohort-Component Projection Model: A Strange Attractor for Demographers Part III: Teaching Demography: 11. …”
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Quantitative evaluation of HIV prevention programs

Innehållsförteckning: “…Development and Validation of a Serologic Testing Algorithm for Recent HIV Seroconversion GlenA. Satten, -- Robert S. …”
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