American Statistical Association Mid-Michigan Chapter In celebration of the ASA 175th Anniversary, the Mid-Michigan Chapter is pleased to announce its 2014 spring meeting. Our guest speaker is Tim Rey, Director, Advanced

Source URL: asa.mth.cmich.edu

• Mathematical sciences
• Science
• Business intelligence
• Data analysis
• Data mining
• Analytics
• Curse of dimensionality
• Steelcase
• Dimension reduction
• Statistics
• Formal sciences
• Machine learning

A local chapter of the American Statistical Association _http://www.amstat.org/chapters/sacramento/_ President: Christiana Drake, [removed]; Vice-President: Gloria J. Robertson, [removed]; Secretary: Kathleen

Source URL: www.amstat.org

• Econometrics
• Scientific method
• Statistical inference
• Nonlinear dimensionality reduction
• Regression analysis
• Confidence interval
• Principal component analysis
• Functional data analysis
• Dimension reduction
• Statistics
• Multivariate statistics
• Data analysis

Chapter 11 Dimensionality Reduction There are many sources of data that can be viewed as a large matrix. We saw in Chapter 5 how the Web can be represented as a transition matrix. In Chapter 9, the utility matrix was a

Source URL: infolab.stanford.edu

• Matrix theory
• Numerical linear algebra
• Singular value decomposition
• Eigenvalues and eigenvectors
• Principal component analysis
• Power iteration
• Matrix
• Eigendecomposition of a matrix
• Eigenvalue algorithm
• Algebra
• Linear algebra
• Mathematics

Manifold Spanning Graphs CJ Carey and Sridhar Mahadevan School of Computer Science University of Massachusetts, Amherst Amherst, Massachusetts, 01003 {ccarey,mahadeva}@cs.umass.edu

Source URL: nemo.cs.umass.edu

• Spanning tree
• Minimum spanning tree
• Nonlinear dimensionality reduction
• Depth-first search
• Matching
• Graph
• Manifold
• Edge coloring
• Pseudoforest
• Graph theory
• Mathematics
• Theoretical computer science

DOC Document

Source URL: ctep.cancer.gov

• Oncologists
• Reference
• Science
• Multifactor dimensionality reduction
• Anthony Sandler
• Acronyms
• PubMed
• Medicine

Awards & Announcements Dr. Tong Zhang Machine Learning Methods for Big Data Analytics This project studies methods for scalable data analysis, including sampling methods, dimensionality reduction techniques as well as l

Source URL: statistics.rutgers.edu

www.sciencemag.org/cgi/content/full[removed]DC1 Supporting Online Material for Reducing the Dimensionality of Data with Neural Networks G. E. Hinton* and R. R. Salakhutdinov *To whom correspondence should be addres

Source URL: www.cs.toronto.edu

• Machine learning
• Data analysis
• Dimension
• Nonlinear dimensionality reduction
• Principal component analysis
• Dimension reduction
• Overfitting
• Backpropagation
• Test set
• Statistics
• Neural networks
• Multivariate statistics

UCL Tutorial on: Deep Belief Nets (An updated and extended version of my 2007 NIPS tutorial) Geoffrey Hinton Canadian Institute for Advanced Research

Source URL: www.cs.toronto.edu

• Cybernetics
• Perceptron
• Nonlinear dimensionality reduction
• Backpropagation
• Statistical classification
• Generative model
• Types of artificial neural networks
• Feedforward neural network
• Neural networks
• Statistics
• Machine learning

Application of Dimensionality Reduction in Recommender System -- A Case Study Badrul M. Sarwar, George Karypis, Joseph A. Konstan, John T. Riedl GroupLens Research Group / Army HPC Research Center Department of Computer

Source URL: files.grouplens.org

• Linear algebra
• Human–computer interaction
• Recommender systems
• Collective intelligence
• Collaborative filtering
• Singular value decomposition
• GroupLens Research
• Latent semantic indexing
• Orthogonal matrix
• Algebra
• Information science
• Information retrieval

Author manuscript, published in "IEEE conf. on Computer Vision and Pattern Recognition, France (2012)" DOI : [removed]CVPR[removed]PCCA: A New Approach for Distance Learning from Sparse Pairwise Constraints Alexis Mi

Source URL: hal.archives-ouvertes.fr

• Multivariate statistics
• Nonlinear dimensionality reduction
• Isomap
• Kernel trick
• Dimension reduction
• Support vector machine
• Distance
• Multidimensional scaling
• Vector space
• Statistics
• Algebra
• Mathematics