DOCUMENT RESOURCES FOR EVERYONE
Documents tagged
Presto: Distributed Machine Learning and Graph Processing with Sparse Matrices
Technology Presto: Distributed Machine Learning and Graph Processing with Sparse Matrices

1. Distributed Machine Learning andGraph Processing with SparseMatricesSpeaker: LIN Qianhttp://www.comp.nus.edu.sg/~linqian/ 2. Big Data, Complex AlgorithmsPageRank(Dominant…

PATTERN RECOGNITION AND MACHINE LEARNING CHAPTER 2: PROBABILITY DISTRIBUTIONS.
Documents PATTERN RECOGNITION AND MACHINE LEARNING CHAPTER 2: PROBABILITY DISTRIBUTIONS.

Slide 1PATTERN RECOGNITION AND MACHINE LEARNING CHAPTER 2: PROBABILITY DISTRIBUTIONS Slide 2 Parametric Distributions Basic building blocks: Need to determine given Representation:…

Impact of the Distributional Assumptions of Random Effects on Model Fitting Xueying (Sherri) Zhang Research Scientist California Department of Health Services.
Documents Impact of the Distributional Assumptions of Random Effects on Model Fitting Xueying (Sherri) Zhang.....

Slide 1Impact of the Distributional Assumptions of Random Effects on Model Fitting Xueying (Sherri) Zhang Research Scientist California Department of Health Services CDIC/…

Sampling Research Questions Bruce D. Spencer Statistics Department and Institute for Policy Research Northwestern University SAMSI Workshop 10/21/10.
Documents Sampling Research Questions Bruce D. Spencer Statistics Department and Institute for Policy Research...

Slide 1Sampling Research Questions Bruce D. Spencer Statistics Department and Institute for Policy Research Northwestern University SAMSI Workshop 10/21/10 Slide 2 2 Introduction…

Lecture #3: Modeling spatial autocorrelation in normal, binomial/logistic, and Poisson variables: autoregressive and spatial filter specifications Spatial.
Documents Lecture #3: Modeling spatial autocorrelation in normal, binomial/logistic, and Poisson variables:...

Slide 1 Slide 2 Lecture #3: Modeling spatial autocorrelation in normal, binomial/logistic, and Poisson variables: autoregressive and spatial filter specifications Spatial…

University of Toronto Oct. 18, 2004 Modelling Motion Patterns with Video Epitomes Machine Learning Group Meeting University of Toronto Oct. 18, 2004 Vincent.
Documents University of Toronto Oct. 18, 2004 Modelling Motion Patterns with Video Epitomes Machine Learning.....

Slide 1University of Toronto Oct. 18, 2004 Modelling Motion Patterns with Video Epitomes Machine Learning Group Meeting University of Toronto Oct. 18, 2004 Vincent Cheung…

JINA Froniters Workshop August 21 st 2005 Searching for Isomers along the rp-Process Path Andreas Wöhr Institute for Nuclear Structure and Astrophysics.
Documents JINA Froniters Workshop August 21 st 2005 Searching for Isomers along the rp-Process Path Andreas...

Slide 1JINA Froniters Workshop August 21 st 2005 Searching for Isomers along the rp-Process Path Andreas Wöhr Institute for Nuclear Structure and Astrophysics University…

Data mining 2011 09
Technology Data mining 2011 09

1. Data-mining, Hadoop and the Single Node 2. Map-Reduce Input Output Shuffle 3. MapR's Streaming Performance Read Write 0 250 500 750 1000 1250 1500 1750 2000 2250…

Oscon Data 2011 Ted Dunning
Technology Oscon Data 2011 Ted Dunning

1. Hands-on Classification 2. Preliminaries • Code is available from github: – [email protected]:tdunning/Chapter-16.git • EC2 instances available • Thumb drives also…

agresti-1992-exact-inference
Documents agresti-1992-exact-inference

A Survey of Exact Inference for Contingency Tables Alan Agresti Statistical Science, Vol. 7, No. 1. (Feb., 1992), pp. 131-153. Stable URL: http://links.jstor.org/sici?sici=0883-4237%28199202%297%3A1%3C131%3AASOEIF%3E2.0.CO%3B2-A…

Popular Categories
Relevant Tags