Swarm Intelligence Methods for Statistical Regression
نام عام مواد
[Book]
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
Milton :
نام ناشر، پخش کننده و غيره
Chapman and Hall/CRC,
تاریخ نشرو بخش و غیره
2018.
مشخصات ظاهری
نام خاص و کميت اثر
1 online resource (137 pages)
یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references and index.
یادداشتهای مربوط به مندرجات
متن يادداشت
Cover; Half Title; Title Page; Copyright Page; Dedication; Table of Contents; Preface; Conventions and Notation; CHAPTER 1: Introduction; 1.1 OPTIMIZATION IN STATISTICAL ANALYSIS; 1.2 STATISTICAL ANALYSIS: BRIEF OVERVIEW; 1.3 STATISTICAL REGRESSION; 1.3.1 Parametric regression; 1.3.2 Non-parametric regression; 1.4 HYPOTHESES TESTING; 1.5 NOTES; 1.5.1 Noise in the independent variable; 1.5.2 Statistical analysis and machine learning; CHAPTER 2: Stochastic Optimization Theory; 2.1 TERMINOLOGY; 2.2 CONVEX AND NON-CONVEX OPTIMIZATION PROBLEMS; 2.3 STOCHASTIC OPTIMIZATION
متن يادداشت
2.4 EXPLORATION AND EXPLOITATION2.5 BENCHMARKING; 2.6 TUNING; 2.7 BMR STRATEGY; 2.8 PSEUDO-RANDOM NUMBERS AND STOCHASTIC OPTIMIZATION; 2.9 NOTES; CHAPTER 3: Evolutionary Computation and Swarm Intelligence; 3.1 OVERVIEW; 3.2 EVOLUTIONARY COMPUTATION; 3.3 SWARM INTELLIGENCE; 3.4 NOTES; CHAPTER 4: Particle Swarm Optimization; 4.1 KINEMATICS: GLOBAL-BEST PSO; 4.2 DYNAMICS: GLOBAL-BEST PSO; 4.2.1 Initialization and termination; 4.2.2 Interpreting the velocity update rule; 4.2.3 Importance of limiting particle velocity; 4.2.4 Importance of proper randomization; 4.2.5 Role of inertia
متن يادداشت
4.2.6 Boundary condition4.3 KINEMATICS: LOCAL-BEST PSO; 4.4 DYNAMICS: LOCAL-BEST PSO; 4.5 STANDARDIZED COORDINATES; 4.6 RECOMMENDED SETTINGS FOR REGRESSION PROBLEMS; 4.7 NOTES; 4.7.1 Additional PSO variants; 4.7.2 Performance example; CHAPTER 5: PSO Applications; 5.1 GENERAL REMARKS; 5.1.1 Fitness function; 5.1.2 Data simulation; 5.1.3 Parametric degeneracy and noise; 5.1.4 PSO variant and parameter settings; 5.2 PARAMETRIC REGRESSION; 5.2.1 Tuning; 5.2.2 Results; 5.3 NON-PARAMETRIC REGRESSION; 5.3.1 Reparametrization in regression spline; 5.3.2 Results: Fixed number of breakpoints
متن يادداشت
5.3.3 Results: Variable number of breakpoints5.4 NOTES AND SUMMARY; 5.4.1 Summary; APPENDIX A: Probability Theory; A.1 RANDOM VARIABLE; A.2 PROBABILITY MEASURE; A.3 JOINT PROBABILITY; A.4 CONTINUOUS RANDOM VARIABLES; A.5 EXPECTATION; A.6 COMMON PROBABILITY DENSITY FUNCTIONS; APPENDIX B: Splines; B.1 DEFINITION; B.2 B-SPLINE BASIS; APPENDIX C: Analytical Minimization; C.1 QUADRATIC CHIRP; C.2 SPLINE-BASED SMOOTHING; Bibliography; Index
بدون عنوان
0
بدون عنوان
8
بدون عنوان
8
بدون عنوان
8
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
A core task in statistical analysis, especially in the era of Big Data, is the fitting of flexible, high-dimensional, and non-linear models to noisy data in order to capture meaningful patterns. This can often result in challenging non-linear and non-convex global optimization problems. The large data volume that must be handled in Big Data applications further increases the difficulty of these problems. Swarm Intelligence Methods for Statistical Regression describes methods from the field of computational swarm intelligence (SI), and how they can be used to overcome the optimization bottleneck encountered in statistical analysis. Features Provides a short, self-contained overview of statistical data analysis and key results in stochastic optimization theory Focuses on methodology and results rather than formal proofs Reviews SI methods with a deeper focus on Particle Swarm Optimization (PSO) Uses concrete and realistic data analysis examples to guide the reader Includes practical tips and tricks for tuning PSO to extract good performance in real world data analysis challenges.
یادداشتهای مربوط به سفارشات
منبع سفارش / آدرس اشتراک
Ingram Content Group
شماره انبار
9781351365024
ویراست دیگر از اثر در قالب دیگر رسانه
عنوان
Swarm Intelligence Methods for Statistical Regression.
شماره استاندارد بين المللي کتاب و موسيقي
9781138558182
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Big data.
موضوع مستند نشده
Computational intelligence.
موضوع مستند نشده
Regression analysis.
موضوع مستند نشده
Swarm intelligence.
موضوع مستند نشده
Big data.
موضوع مستند نشده
Computational intelligence.
موضوع مستند نشده
COMPUTERS-- Database Management-- Data Mining.
موضوع مستند نشده
COMPUTERS-- Machine Theory.
موضوع مستند نشده
data analysis.
موضوع مستند نشده
genetic algorithms.
موضوع مستند نشده
high-dimensional data.
موضوع مستند نشده
multi-agent systems.
موضوع مستند نشده
optimization.
موضوع مستند نشده
parametic regression.
موضوع مستند نشده
Regression analysis.
موضوع مستند نشده
Swarm intelligence.
رده بندی ديویی
شماره
005
.
7
ويراست
23
رده بندی کنگره
شماره رده
QA76
.
9
.
B45
نشانه اثر
.
M643
2019
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )