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紙図書
国立国会図書館
- 要約等Master the art of machine learning and data science b......ion criterion, and the widely app......lso providing hands-on experience......ogramming in R and Stan. Whether ......anabe Bayesian Theory. The key featu......clude: A clear and self-contained......ease of understanding for readers......their progress and comprehension.......breaking Bayes theory, demystifying ......ource programs and Stan codes tha......ed approach to algebraic geometry topics in Chap......, making Bayes theory more accessible and less daunting.......n your machine learning and data science j......ntial textbook and unlock the ful......ential of WAIC and WBIC today!
- 内容細目...er of Bayesian Theory One-Point Advi......5 Why are WAIC and WBIC Bayesian ......y'' 1.7 Why is Algebraic Geometry Necessary for Understanding WAIC and WBIC? 1.8 Hiro......4.1.1 Matrices and Eigenvalues 4......., Closed Sets, and Compact Sets 4...... Value Theorem and Taylor Expansi...... Large Numbers and Central Limit Theorem 4.3.1 Random Variables 4.......trix 5 Regular Statistical Models 5.1 Emp......alization Loss and Empirical Loss......iteria 6.2 AIC and TIC 6.3 WAIC 6......e Energy, BIC, and WBIC Exercises 54-66 7 Algebraic Geometry 7.1 Algebraic Sets and Analytical Set......ingular Points and Their Resolution 7.4 Hironaka...
- 件名Bayesian statistical decision theory R (Computer program language)...
紙図書
国立国会図書館
- 要約等...for the use of algebraic geometry in statistical learning theory. Many widely used statistical models and learning machines appli......sian networks, and stochastic con......ajor examples. Algebraic geometry and singularity theory provide the ne......ven a common standard form using ...... zeta function theory; 3. new method......rrors in Bayes and Gibbs estimati......mum likelihood and a posteriori m......irical process theory on algebraic varieties."--Jacket.
- 件名Computational learning theory -- Statistical methods. Geometry, Algebraic. Algebraische Geometrie. Math...
紙図書
国立国会図書館
- 要約等Social Network Analysis and Mining Encyclo......ental concepts and research direc......ocial networks and applications t......s a truly outstanding reference a......s, instructors and students (both undergraduate and graduate), as ......asics concepts and research effor......ge has been expanded to include n......pinion mining, and sentiment anal......well as public and academic libra......k applications and research effor......communication, and in particul ar......, mathematics, and statistics to sociology and behavioral sci......of information and insight behind......e. Researchers and practitioners ......cted networks, and the data mining and machine l...
デジタル記事
全国の図書館
- 要約等...for the use of algebraic geometry in statistical learning theory. Many widely used statistical models and learning machines appli......sian networks, and stochastic con......ajor examples. Algebraic geometry and singularity theory provide the ne......ven a common standard form using ...... zeta function theory; 3. new method......rrors in Bayes and Gibbs estimati......mum likelihood and a posteriori m......irical process theory on algebraic varieties.</jats:p>
- 参照...for Supervised and Semi-Supervised Learning Dynamics of Learning in MLP: Natural Gradient and Singularity Re......iational Bayes and asymptotic app......nt advances in algebraic geometry and Bayesian stati......edundancy Fast and Stable Learning Utilizing Sing......let Allocation and Stochastic Mat...... Reinforcement Learning With Adversari......hted Inference Learning Coefficients and Reproducing Tr......y Functions in Learning Systems Large ......I Mathematical theory of Bayesian st......r of arms WAIC and WBIC for mixtu......ation criteria and cross validati......nce in regular and singular cases......al Analysis of Learning Coefficient in Radial Basis F...
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