Structural properties underlying high-quality Randomized Numerical Linear Algebra algorithms Michael W. Mahoney ∗

Source URL: www.stat.berkeley.edu

• Numerical linear algebra
• Matrix
• Principal component analysis
• Orthogonal matrix
• Gaussian elimination
• Singular value decomposition
• Low-rank approximation
• MoorePenrose pseudoinverse
• QR decomposition
• QR algorithm
• Matrix completion
• Linear least squares

review f o c u s o n b i g data Dimensionality reduction for large-scale neural recordings

Source URL: stat.columbia.edu

• Computational neuroscience
• Neuroscience
• Neural networks
• Multivariate statistics
• Neural coding
• Neural oscillation
• Principal component analysis
• Dimensionality reduction
• Artificial neural network
• Nonlinear dimensionality reduction
• Biological neural network
• Neural ensemble

CS 559: Homework Set 3 Due: November 5, 6:00pm Philippos Mordohai Department of Computer Science Stevens Institute of Technology

Source URL: www.cs.stevens.edu

• Software
• Algebra
• Statistics
• Multivariate statistics
• Linear algebra
• Matrices
• Dimension reduction
• Machine learning
• Matrix
• Linear discriminant analysis
• Principal component analysis
• Statistical classification

The statistics of Principal Component Analysis Olivier Catoni CNRS, INRIA (projet CLASSIC) D´epartement de Math´ematiques et Applications, ENS, 45 rue d’Ulm, Paris Cedex 05,

Source URL: www.math.ens.fr

Applied Soft Computing–2389 Contents lists available at SciVerse ScienceDirect Applied Soft Computing journal homepage: www.elsevier.com/locate/asoc

Source URL: dept.stat.lsa.umich.edu

• Artificial neural networks
• Statistics
• Applied mathematics
• Machine learning
• Homogeneous charge compression ignition
• Multilayer perceptron
• Radial basis function network
• Principal component analysis
• Recurrent neural network
• Artificial neuron
• Perceptron
• Internal combustion engine

TSC-DL: Unsupervised Trajectory Segmentation of Multi-Modal Surgical Demonstrations with Deep Learning Adithyavairavan Murali*, Animesh Garg*, Sanjay Krishnan*, Florian T. Pokorny, Pieter Abbeel, Trevor Darrell, Ken Gold

Source URL: goldberg.berkeley.edu

• Computational neuroscience
• Cluster analysis
• Image segmentation
• Multivariate statistics
• Deep learning
• Mixture model
• Convolutional neural network
• K-means clustering
• Hierarchical clustering
• Artificial neural network
• Principal component analysis

Bioinformatics Advance Access published November 6, 2015 Probabilistic models of genetic variation in structured populations applied to global human studies Wei Hao 1,∗ , Minsun Song 1,∗,† , and John D. Storey 1,2

Source URL: bioinformatics.oxfordjournals.org

• Genetics
• Biology
• Population genetics
• Genetic genealogy
• Statistical genetics
• Single-nucleotide polymorphisms
• Genome-wide association study
• HardyWeinberg principle
• Logistic regression
• Principal component analysis
• Allele frequency
• Human genetic variation

Prostate Detection Using Principal Component Analysis Aamir Virani () CS 229 – Machine Learning – Stanford University – 16 December 2005 Introduction During the past two decades, computed tomogr

Source URL: cs229.stanford.edu

Consistent Estimation of Low-Dimensional Latent Structure arXiv:1510.03497v1 [stat.ML] 13 Oct 2015 in High-Dimensional Data Xiongzhi Chen

Source URL: arxiv.org

• Algebra
• Mathematics
• Mathematical analysis
• Matrix theory
• Dimension reduction
• Linear algebra
• Principal component analysis
• Eigenvalues and eigenvectors
• Multivariate normal distribution
• Matrix
• Distribution

JMLR: Workshop and Conference Proceedings vol 40:1–21, 2015 Second-order Quantile Methods for Experts and Combinatorial Games Wouter M. Koolen

Source URL: jmlr.org

• Statistics
• Combinatory logic
• Lambda calculus
• Logic in computer science
• Principal component analysis
• Theoretical computer science
• Mathematics