The theoretical justifications for Principal Component Analysis (PCA) typically assume that the data is IID over the estimation window. In practice, this assumption is routinely violated in financial data. We examine the

Source URL: mmds-data.org

Evaluating TOP-K Queries Over Business Processes Daniel Deutch, Tova Milo Tel Aviv University {danielde,milo}@post.tau.ac.il Abstract— A Business Process (BP) consists of some business

Source URL: www.cs.tau.ac.il

• Operations research
• Statistics
• Mathematics
• Statistical theory
• Estimation theory
• Bayesian statistics
• Bayesian network
• Query optimization
• Likelihood function
• Flow network
• Dynamic programming
• Directed acyclic graph

Automatic analytical modeling for the estimation of cache misses

Source URL: www.des.udc.es

• Software engineering
• Computer programming
• Computing
• Compiler optimizations
• Cache
• Computer memory
• Compiler construction
• Optimizing compiler
• Programming language implementation
• CPU cache
• For loop
• Matrix

Evolutionary Ecology Research, 2010, 12: 217–233 Precipitation and large herbivorous mammals I: estimates from present-day communities J.T. Eronen1,2, K. Puolamäki3, L. Liu1,4, K. Lintulaakso1, J. Damuth5, 6

Source URL: www.mv.helsinki.fi

• Statistics
• Regression analysis
• Estimation theory
• Hypsodont
• Linear regression
• Precipitation
• Mikael Fortelius
• Errors and residuals
• Rain

Journal of Machine Learning Research–2213 Submitted; PublishedNoisy-OR Component Analysis and its Application to Link Analysis

Source URL: people.cs.pitt.edu

• Statistics
• Estimation theory
• Statistical models
• Bayesian statistics
• Statistical natural language processing
• Statistical theory
• Expectationmaximization algorithm
• Variational Bayesian methods
• Mixture model
• Exponential family
• Latent Dirichlet allocation
• Likelihood function

Ensemble Modeling Get More Out of Your Predictive Modeling Gary Robinson COO | Lityx LLC Just as an ensemble is a collection of parts that contribute to a single effect, ensemble modeling is multiple

Source URL: www.lityx.com

• Statistics
• Regression analysis
• Statistical models
• Business intelligence
• CHAID
• Estimation theory
• Logistic regression
• Predictive modelling
• Regression validation
• Conceptual model
• Predictive analytics

Deep Learning for Laser Based Odometry Estimation Austin Nicolai, Ryan Skeele, Christopher Eriksen, and Geoffrey A. Hollinger Robotics Program School of Mechanical, Industrial, & Manufacturing Engineering Oregon State Un

Source URL: juxi.net

• Artificial neural networks
• Computational neuroscience
• Artificial intelligence
• Cybernetics
• Applied mathematics
• Machine learning
• Robotic sensing
• Computer vision
• Convolutional neural network
• Deep learning
• Visual odometry
• Convolutional Deep Belief Networks

Probabilistic Graphical ModelsSubmitted 4/00; Publishedd-VMP: Distributed Variational Message Passing

Source URL: amidst.github.io

• Statistics
• Mathematical analysis
• Probability
• Probability distributions
• Estimation theory
• Variational message passing
• Statistical models
• Exponential family
• Gamma distribution
• Variational Bayesian methods
• Normal distribution
• Bayesian network

Methodological note (PIN Flash 7) Regression estimation of average annual percentage change in number of PTW rider deaths over the past 10 years To estimate the average yearly percentage change in deaths achieved by a co

Source URL: archive.etsc.eu

• Estimation theory
• Statistics
• Regression analysis
• Linear regression
• Statistical theory

RESIDUAL-BASED DISCRETIZATION ERROR ESTIMATION FOR COMPUTATIONAL FLUID DYNAMICS Tyrone S. Phillips Graduate Research Assistant Department of Aerospace and Ocean

Source URL: www.vsgc.odu.edu

• Numerical analysis
• Mathematical analysis
• Calculus
• Mathematics
• Partial differential equations
• Truncation error
• Finite element method
• Discretization error
• Numerical methods for ordinary differential equations
• Computational fluid dynamics
• Multigrid method
• Richardson extrapolation