'Real world data' presentation slideshows

Dissertation Proposal

Dissertation Proposal. Negative selection algorithms: from the thymus to V-detector Zhou Ji, advised by Prof. Dasgupta. Outline. Background of the area Major contributions of current work Description of the algorithm Demonstration of the software Experimental results Work to do next.

872 views • 65 slides

Preference Analysis

Preference Analysis. Joachim Giesen and Eva Schuberth May 24, 2006. Outline . Motivation Approximate sorting Lower bound Upper bound Aggregation Algorithm Experimental results Conclusion. Motivation. Find preference structure of consumer w.r.t. a set of products

741 views • 56 slides

CoBaFi : Collaborative Bayesian Filtering

760 views • 49 slides

Topic 4 Data Mining

746 views • 48 slides

Chapter 2 Economic Tools and Economic Thinking

Chapter 2 Economic Tools and Economic Thinking. making choices functions supply and demand empirical methods. With scarcity, must choose. making rational choices maximizing something given certain limits or constraints maximize well-being, profits, etc.

735 views • 47 slides

723 views • 47 slides

Examining Relationships Between 2 Variables

Examining Relationships Between 2 Variables. When we have 2 quantitative variables, we would like to know if they are related. We begin by making a scatterplot of the ordered pairs. From this scatterplot, we can determine if there may be a linear, or curvilinear, relationship.

643 views • 46 slides

Microeconomic Theory

577 views • 35 slides

Validation and Accreditation of Transient Stability (TS) Results

Tom Overbye Fox Family Professor of ECE University of Illinois at Urbana-Champaign Jim Gronquist Bonneville Power Administration (BPA). Validation and Accreditation of Transient Stability (TS) Results. Overview.

591 views • 34 slides

Power laws, Pareto distribution and Zipf's law

Power laws, Pareto distribution and Zipf's law. M. E. J. Newman Presented by: Abdulkareem Alali. Intro: Measurements distribution. One noticed observation on measuring quantities that they are scaled or centered around a typical value. As an example:

993 views • 33 slides

Predictive modeling competitions

Predictive modeling competitions. making data science a sport. Anthony Goldbloom CEO, Kaggle e-mail anthony.goldbloom@kaggle.com twitter @antgoldbloom. Photo by mikebaird, www.flickr.com/photos/mikebaird. Motivation Why compete? How it works R on Kaggle

503 views • 29 slides

Formal Methods in System Design

Formal Methods in System Design. University of Utah School of Computing Ganesh Gopalakrishnan, Instructor Greg Szubzda , half-TA http://www.eng.utah.edu/~cs6110. Bugs. A bug is ugliness in the eyes of every beholder (just thought of this) Please try to come up with something better!.

430 views • 29 slides

Enabling Fast Prediction for Ensemble Models on Data Streams

Enabling Fast Prediction for Ensemble Models on Data Streams. Peng Zhang, Jun Li, Peng Wang Byron Gao, Xingquan Zhu, Li Guo Information Security Research Center, Institute of Computing Technology, Chinese Academy of Sciences, China Texas State University-San Marocs, USA

374 views • 27 slides

Teaching an Advanced Simulation Topic Verification and Validation of Simulation Models

Teaching an Advanced Simulation Topic Verification and Validation of Simulation Models. Stewart Robinson. School of Business and Economics. WSC 12, Berlin. Session Aim. Develop an understanding of the concepts of verification, validation and confidence in a model

477 views • 23 slides

The Consumer Price Index

The Consumer Price Index. THE CPI. You may recall the concept known as GDP We had the value of production. In our example we had a few goods, but we know in the economy the list of goods would stretch from here to the moon. Or, at least, it is a long list.

390 views • 20 slides

Data Acquisition System

Data Acquisition System. Submitted by: Harneet Singh Sushant Kumar Guide: Mr. Vinod Khera. Objective. To sample real world data, process it and display on a LCD This Data Acquisition System works as a microcontroller-based digital thermometer for measuring the temperature.

1.4k views • 18 slides

STAT 497 LECTURE NOTES 10

STAT 497 LECTURE NOTES 10. MODELING VOLATILITY BY ARCH-GARCH MODELS. VARIANCE.

347 views • 17 slides

On-the-Ground Work!

On-the-Ground Work! . CX 3 Overview . Communities of Excellence in Nutrition, Physical Activity, and Obesity Prevention (CX 3 ). CX 3 Tier 2 Training FFY 2013. Neighborhood Focus. Neighborhoods Matter. Research: Clear connection between neighborhood factors and health outcomes.

187 views • 17 slides

The 50B Transistor Challenge Mikko Lipasti Department of Electrical and Computer Engineering University of Wisconsin - M

The 50B Transistor Challenge Mikko Lipasti Department of Electrical and Computer Engineering University of Wisconsin - Madison. IBM T.J. Watson Research Center July 22 and 23, 2008. 50B Transistors on a Chip?. History 1997 IEEE Computer Special Issue, 1B T/chip by 2007

245 views • 12 slides

Welcome to Economics 20

Welcome to Economics 20. What is Econometrics?. Why study Econometrics?. Rare in economics (and many other areas without labs!) to have experimental data Need to use nonexperimental, or observational, data to make inferences Important to be able to apply economic theory to real world data.

269 views • 9 slides