Structured Variable Selection Using the Exclusive Lasso Frederick Campbell May 1, 2014 Many data sets consist of variables with an inherent group structure. The problem of group selection has been well studied, but in th

Source URL: srcos2014.blogs.rice.edu

• Econometrics
• Model selection
• Lasso
• Regression analysis
• Feature selection
• Nuclear magnetic resonance spectroscopy
• Nuclear magnetic resonance
• Elastic net regularization
• Least-angle regression
• Statistics
• Science
• Information

THE PERILS OF IGNORING DATA SUITABILITY The Suitability of Data Used to Train Neural Networks Deserves More Attention Kevin Swingler Computing and Maths, University of Stirling, Stirling, FK9 4LA, Scotland [removed]

Source URL: www.cs.stir.ac.uk

• Data mining
• Computational neuroscience
• Neural networks
• Data analysis
• Artificial neural network
• Decision tree learning
• Feature selection
• Algorithm
• Support vector machine
• Statistics
• Machine learning
• Science

ISIS: A two-scale framework to sparse inference Jianqing Fan Princeton University http://www.princeton.edu/∼jqfan March 26, 2010

Source URL: www.enar.org

• Model selection
• Jianqing Fan
• Sparse matrix
• Regression analysis
• Statistics
• Dimension reduction
• Feature selection

PDF Document

Source URL: hal.archives-ouvertes.fr

• Model selection
• Bayesian statistics
• Naive Bayes classifier
• Anomaly detection
• Random forest
• Cross-validation
• Feature selection
• Confusion matrix
• Data mining
• Statistics
• Machine learning
• Statistical classification

massachusetts institute of technology — computer science and artificial intelligence laboratory Combining Variable Selection with Dimensionality Reduction Lior Wolf & Stanley Bileschi AI Memo[removed]

Source URL: cbcl.mit.edu

• Singular value decomposition
• Machine learning
• Linear algebra
• Statistical classification
• Principal component analysis
• Dimension reduction
• Spectral clustering
• Feature selection
• Wavelet
• Statistics
• Algebra
• Multivariate statistics

Chapter 8 DATA FINGERPRINTING WITH SIMILARITY DIGESTS Vassil Roussev Abstract

Source URL: roussev.net

• Cryptographic hash functions
• Search algorithms
• Bloom filter
• Hash function
• Fingerprint
• Crypt
• Rabin fingerprint
• SHA-1
• Feature selection
• Cryptography
• Hashing
• Error detection and correction

MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL

Source URL: cbcl.mit.edu

• Linear algebra
• Singular value decomposition
• Abstract algebra
• Statistical classification
• Multivariate statistics
• Support vector machine
• Pattern recognition
• Feature selection
• Principal component analysis
• Algebra
• Statistics
• Mathematics

Building a Better Similarity Trap with Statistically Improbable Features Vassil Roussev Department of Computer Science University of New Orleans New Orleans, LA[removed]removed]

Source URL: roussev.net

• Statistical theory
• Thermodynamics
• Information theory
• State functions
• Philosophy of thermal and statistical physics
• Entropy
• Principle of maximum entropy
• Hash function
• Feature selection
• Statistics
• Probability and statistics
• Thermodynamic entropy

Semantic Feature Analysis Template Title of Reading Selection Topic

Source URL: www.doe.in.gov

Dessert Wines The wines below are by the bottle only. We feature an extensive selection of Dessert Wines and Ports, available by the glass, on our Dessert Menu. Austria, Germany

Source URL: cdn1.buuteeq.com

• Pinot noir
• North Coast AVA
• Mendocino County wine
• California wine
• Alexander Valley AVA
• Domaine Chandon California
• Napa Valley AVA
• Maison Joseph Drouhin
• Spring Mountain District AVA
• American Viticultural Areas
• Geography of California
• Sonoma County wine