'Random change' presentation slideshows

Genetic Algorithms

Genetic Algorithms. An example real-world application. Dynamic scenes. Test stimulus. Outdoors scene (easy). Outdoor scene (harder). TV ad. Other outdoors. TV news. Questions. This model uses hardcoded low-level visual feature detectors inspired from monkey and human brains

500 views • 43 slides

Evolutionary Medicine

Evolutionary Medicine. 2015 UNM Evolutionary Medicine Joe Alcock MD MS Department of Emergency Medicine Adjunct, Dept. Biology. Uca musica musica. What is Evolution?. Population change Genetic change Natural selection: non-random change Drift: random change Occurs all the time.

587 views • 34 slides

CHAPTER 7 S IMULTANEOUS P ERTURBATION S TOCHASTIC A PPROXIMATION (SPSA)

Slides for Introduction to Stochastic Search and Optimization ( ISSO ) by J. C. Spall. CHAPTER 7 S IMULTANEOUS P ERTURBATION S TOCHASTIC A PPROXIMATION (SPSA). Organization of chapter in ISSO Problem setting SPSA algorithm Theoretical foundation Asymptotic normality and efficiency

424 views • 32 slides

Jeopardy

Jeopardy. Genes and Chromosomes. Basics. 100. 100. 200. 200. 300. 300. 400. 400. 500. 500. 1000. 1000. Answer: The genetic material that makes up genes and chromosomes. Genes & Chromosomes for 100. Question : What is DNA?. Genes & Chromosomes for 100.

389 views • 25 slides

Genetics and inheritance

334 views • 21 slides

Mutations

183 views • 18 slides

270 views • 16 slides

Evolution of Populations

185 views • 14 slides

Mechanisms for Evolution

Mechanisms for Evolution. Natural selection traits that improve survival or reproduction accumulate in the population ADAPTIVE change Genetic drift frequency of traits changes in a population due to chance events RANDOM change. Natural Selection.

2.46k views • 10 slides