'1 ln 1' presentation slideshows

???? Artificial Intelligence

???? Artificial Intelligence. ?????? Uncertainty Reasoning. ??????. ???? ?? Bayes ?? ????? ???? ????. ????(1/3). ?????????? ?????????????????????,?????????????? ?????????????,???????????,????????????????????????????????? ????????????? ????????????????

1.05k views • 82 slides

Chapter 20 International Portfolio Diversification

Chapter 20 International Portfolio Diversification. 20.1 The Algebra of Portfolio Diversification 20.2 Mean-Variance Efficiency 20.3 The Benefits of International Portfolio Diversification 20.4 Variances on Foreign Stock and Bond Investments 20.5 Home Bias 20.6 Summary.

428 views • 37 slides

Part 7: Random-Variate Generation

Part 7: Random-Variate Generation. Agenda. Purpose Prerequisite Inverse-transform technique Acceptance-rejection technique Special Properties. 1. Purpose. To generate samples from a specified distribution as input to a simulation model. 2.Prerequisite.

440 views • 35 slides

Information Gain, Decision Trees and Boosting

Information Gain, Decision Trees and Boosting. 10-701 ML recitation 9 Feb 2006 by Jure. Entropy and Information Grain. Entropy & Bits. You are watching a set of independent random sample of X X has 4 possible values: P(X=A)=1/4, P(X=B)=1/4, P(X=C)=1/4, P(X=D)=1/4

416 views • 30 slides

Finance Financial Options

1.07k views • 27 slides

Computational Learning Theory

Computational Learning Theory. Introduction The PAC Learning Framework Finite Hypothesis Spaces Examples of PAC Learnable Concepts. Introduction. Computational learning theory (or CLT): Provides a theoretical analysis of learning

473 views • 25 slides

Estimate of physical parameters of molecular clouds

Estimate of physical parameters of molecular clouds. Observables: T MB (or F ? ), ? , ? S Unknowns: V , T K , N X , M H 2 , n H 2 V velocity field T K kinetic temperature N X column density of molecule X M H 2 gas mass n H 2 gas volume density. Velocity field.

345 views • 23 slides

The Most Important Diagram

The Most Important Diagram. The Most Simple Model(?). r. S. S. The Most Simple Model(?). r. S. S. This model characterizes how S(t) is changing. The Most Simple Model(?). r. S. S. How many people are susceptible at time = t?

318 views • 22 slides

DNA variation in Ecology and Evolution IV- Clustering methods and Phylogenetic reconstruction

304 views • 20 slides

8. Back-testing of trading strategies

8. Back-testing of trading strategies. 8.1Bootstrap Brock et al (1992), Davidson & Hinkley (1997), Fusai & Roncoroni (2008).

124 views • 12 slides