PPT-Mixtures of Gaussians and

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the EM Algorithm CSE 6363 Machine Learning Vassilis Athitsos Computer Science and Engineering Department University of Texas at Arlington 1 Gaussians A popular

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Mixtures of Gaussians and: Transcript


the EM Algorithm CSE 6363 Machine Learning Vassilis Athitsos Computer Science and Engineering Department University of Texas at Arlington 1 Gaussians A popular way to estimate probability density . Chapter 9.3 Part 1. Q: What is the dullest element? A: . Bohrium. . Key concepts:. Describe 3 properties of mixtures. Describe 4 methods of separating mixtures. Give everyday examples of mixtures. Key Vocabulary:. what is . homegeneous. ?. What is solute ?. Uniformly mixed – only see one layer. substance that dissolve in a solvent. What is solvent?. Is a substance that dissolves the solute. What is solution ?. 10-8-14. . Sorting. Separating mixtures with your hands.. Ex: separating pop corn kernels, black beans, & rice. 2. . . Using a Magnet. Using the magnetic property of a substance to separate a mixture. Mixtures and Solutions. Investigation 1. Part 1. Making and Separating Mixtures. What is a mixture?. What is a solution?. What is the difference b/t a mixture and solution?. Our first investigation is figuring out what a mixture is and what a solution is…. Mixtures may be separated by many different techniques based on differing physical and/or chemical properties. Sorting. Simply picking apart the different components. This can be easy and obvious…. of . Pharmaceutical Mixtures:. -. empirical . knowledge, gaps and regulatory options. Thomas Backhaus . University of Gothenburg . thomas.backhaus@gu.se. [T]here are . known . knowns. ; there are things we know that we know. Chapter 2. Bamboo has properties that make it a good choice for use in chopsticks. It has no noticeable odor or taste. It is hard, yet easy to split, and it is heat resistant. You will learn how properties can be used to classify and identify matter.. What formulators need to know. Purpose of this presentation. This presentation, with notes, was prepared by ECHA, the European Chemicals Agency, to assist you in preparing a presentation about REACH and CLP relating to downstream users. The intention is that you can select relevant slides and modify them as necessary to suit your audience, whether it is management, workers, environmental health and safety professionals, authorities etc. You may use it without additional permission.. Classifying Matter by Composition. Homogeneous. – . matter with a uniform composition. Heterogeneous. - . matter without a uniform composition. Substance. - A pure type of matter that does not vary from sample to sample. Includes . Chapter 5. Ex:. Melting. Freezing. Boiling/evaporation. Condensation. Sublimation. Dissolving. Bending. Crushing. Breaking. Chopping. Filtration. distillation. Physical change. Does not make a different substance. What formulators need to know. Purpose of this presentation. This presentation, with notes, was prepared by ECHA, the European Chemicals Agency, to assist you in preparing a presentation about REACH and CLP relating to downstream users. The intention is that you can select relevant slides and modify them as necessary to suit your audience, whether it is management, workers, environmental health and safety professionals, authorities etc. You may use it without additional permission.. Pieter . Abbeel. UC Berkeley EECS. Many . slides adapted from . Thrun. , . Burgard. and Fox, Probabilistic Robotics. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . Properties of matter . What do you see when you look at matter? . Properties used to describe matter can be classified as either:. Extensive . Intensive . Extensive vs. intensive properties. Extensive. Mark Hasegawa-Johnson. 9/24/2018. Contents. Gaussian pdf; Central limit theorem, Brownian motion. White Noise. Vector of . i.i.d. . Gaussians. Vector of Gaussians that are independent but not identical.

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