'Continuous values' diaporamas de présentation

Chapter 3 Data and Signals

Chapter 3 Data and Signals. 3-1 ANALOG AND DIGITAL. To be transmitted, data must be transformed to electromagnetic signals.

1.33k views • 86 slides

DATA COMMUNICATIONS

DATA COMMUNICATIONS. Telecommunication : communication at a distance. Data : information presented in whatever form is agreed upon by the parties creating and using the data.

846 views • 73 slides

Chapter 6 Basics of Digital Audio

Chapter 6 Basics of Digital Audio 6.1 Digitization of Sound 6.2 MIDI: Musical Instrument Digital Interface 6.3 Quantization and Transmission of Audio 6.4 Further Exploration What is sound?

1.1k views • 66 slides

Chapter 6 Basics of Digital Audio

Chapter 6 Basics of Digital Audio. 6.1 Digitization of Sound 6.2 MIDI: Musical Instrument Digital Interface 6.3 Quantization and Transmission of Audio 6.4 Further Exploration. What is sound?.

998 views • 66 slides

Are peak expiratory flow rates of asthmatics impaired by levels of SO 2 in the EPA 'safe' zone?

Are peak expiratory flow rates of asthmatics impaired by levels of SO 2 in the EPA 'safe' zone?.

629 views • 54 slides

Random Variables and Probability Distributions

765 views • 52 slides

Decision Tree Learning

503 views • 39 slides

Programming for Engineers in Python

502 views • 37 slides

Wei Fan, IBM T.J.Watson Joe McCloskey, US Department of Defense Philip Yu, IBM T.J.Watson

A General Framework for Fast and Accurate Regression by Data Summarization in Random Decision Trees. Wei Fan, IBM T.J.Watson Joe McCloskey, US Department of Defense Philip Yu, IBM T.J.Watson. Three DM Problems. Classification: Label: given set of labels in training data.

473 views • 35 slides

CCR2 V64I polymorphism: morbidity and mortality in PREVEND

B reedtestrategie. CCR2 V64I polymorphism: morbidity and mortality in PREVEND. 18-04-2005 Mike Zuurman, Department of Internal Medicine, Section Nephrology University Medical Centre Groningen, The Netherlands. Chemokines and their receptors: families.

454 views • 26 slides

Applying Probability

389 views • 24 slides

SIMS-201

SIMS-201. Visual Representation of Information. Converting gray scale and color images to binary. Image compression. Overview. Chapter 5: From the real world to Images and Video Introduction to visual representation and display Converting images to gray scale Color representation Video.

387 views • 23 slides

ELEMENTS OF MATHEMATICAL STATISTICS

ELEMENTS OF MATHEMATICAL STATISTICS. ELEMENTS OF MATHEMATICAL STATISTICS. GENERAL NOTIONS Mathematical statistics is a set of methods that are used to collect, analyze group and interprete data concerning a certain phenomenon and predict its future evolution.

464 views • 23 slides

ELEMENTS OF MATHEMATICAL STATISTICS

ELEMENTS OF MATHEMATICAL STATISTICS. ELEMENTS OF MATHEMATICAL STATISTICS. GENERAL NOTIONS Mathematical statistics is a set of methods that are used to collect, analyze group and interprete data concerning a certain phenomenon and predict its future evolution.

236 views • 23 slides

ELEMENTS OF MATHEMATICAL STATISTICS

ELEMENTS OF MATHEMATICAL STATISTICS. ELEMENTS OF MATHEMATICAL STATISTICS. GENERAL NOTIONS Mathematical statistics is a set of methods that are used to collect, analyze group and interprete data concerning a certain phenomenon and predict its future evolution.

323 views • 23 slides

Math Vocabulary

Math Vocabulary. Julieta Rosales. Integer. A member of the set of positive whole numbers. Rational Number. A number capable of being expressed as an integer or a quotient of integers, excluding zero as a denominator. Scientific Notation.

307 views • 20 slides

Object Oriented Design

Object Oriented Design. Goals. Discussion Pacman Project Project X: OOA & D meets AI Collaborating objects Objects approaching / or pretending to have complexity of human beings. Pacman reflections. Specification in UML How hard was it?

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Operations Research

344 views • 18 slides

Sifter

Sifter. for classifying books dense (or not) in family history information & for selecting 3-page sequences for evaluation . Deryle Lonsdale 1 Oct. 2013. The task. Develop a data-rich family history text range recognizer Perl Machine learning Mostly OTS components Fully automatic

286 views • 8 slides