'Complex distributions' presentation slideshows

Part IV: Monte Carlo and nonparametric Bayes

Part IV: Monte Carlo and nonparametric Bayes. Outline. Monte Carlo methods Nonparametric Bayesian models. Outline. Monte Carlo methods Nonparametric Bayesian models. The Monte Carlo principle. The expectation of f with respect to P can be approximated by

803 views • 72 slides

689 views • 52 slides

Random variables, distributions and limit theorems

546 views • 47 slides

Materials

Materials. Composites. Introduction. Introduction. The major problem in the application of polymers to engineering is their low stiffness and strength Moduli are 100 times lower Strengths are 5 times lower. Introduction. Two methods are used to overcome these deficiencies

566 views • 34 slides

Commonly Used Classification Techniques and Recent Developments

Commonly Used Classification Techniques and Recent Developments . Presented by Ke-Shiuan Lynn. Input Vector (Feature). Output (Class). Classifier. Terminology.

446 views • 33 slides

Effect Size

Effect Size . More to life than statistical significance Reporting effect size. OUTLINE. NHST problems Context and types of Effect Size Comparing samples: The d family of effect sizes Interpretation Understanding the individual: Case Level effect sizes The r family of effect

849 views • 31 slides

Effect Size

Effect Size . More to life than statistical significance Reporting effect size. OUTLINE. NHST problems Context and types of Effect Size Comparing samples: The d family of effect sizes Interpretation Understanding the individual: Case Level effect sizes The r family of effect

619 views • 31 slides

Probabilistic Graphical Models for Semi-Supervised Traffic Classification

Probabilistic Graphical Models for Semi-Supervised Traffic Classification. Rotsos Charalampos , Jurgen Van Gael, Andrew W. Moore, Zoubin Ghahramani. Computer Laboratory and Engineering Department, University of Cambridge. Traffic classification.

435 views • 21 slides