Several problems in applied mathematics and statistics require integrating a function f over a high-dimensional domain. For example, estimating the partition function of a graphical model for a fixed set of parameters re

Source URL: mmds-data.org

THE USE OF ARTIFICIAL INTELLIGENCE IN THE AUTOMATED PLACEMENT OF CARTOGRAPHIC NAMES David S. Johnson Dr. Umit Basoglu Intergraph Corporation One Madison Industrial Park

Source URL: mapcontext.com

• Computational neuroscience
• Applied mathematics
• Computational statistics
• Academia
• Machine learning
• Cybernetics
• Mathematical psychology
• Automatic label placement
• Artificial neural networks
• Algorithm
• Feature
• Cartographic labeling

An fMRI Analysis of Driving-Related Networks with Independent Component Analysis Applied in a Between-Condition (BC-ICA) and Within-Condition (WC-ICA) Manner Vince CALHOUN1, James PEKAR2, Tulay ADALI3, Godfrey PEARLSON4,

Source URL: mialab.mrn.org

• Magnetic resonance imaging
• Neuroscience
• Nervous system
• Neuroimaging
• Statistics
• Cognitive neuroscience
• Functional magnetic resonance imaging
• Resting state fMRI
• Independent component analysis
• ICA Gruppen
• ICA

EFFICIENT INITIALIZATION OF MIXTURES OF EXPERTS FOR HUMAN POSE ESTIMATION Huazhong Ning, Yuxiao Hu, Thomas Huang ECE Department, U. of Illinois at Urbana-Champaign, Urbana, IL 61801. {hning2,hu3, huang}@ifp.uiuc.edu ABS

Source URL: www.ifp.illinois.edu

• Statistics
• Applied mathematics
• Machine learning
• Learning
• Expectationmaximization algorithm
• Pattern recognition
• Regression analysis
• Mixture model
• Artificial neural network
• Perceptron

A method for quantitative evaluation of audio quality over packet networks and its comparison with existing techniques Samir Mohamed Gerardo Rubino

Source URL: www.cnl.fi

• Digital television
• Codecs
• Applied mathematics
• Data compression
• Digital media
• Computational neuroscience
• Computational statistics
• Noise
• Video quality
• PSQM
• Artificial neural network
• Random neural network

Model-Free Imitation Learning with Policy Optimization Jonathan Ho Jayesh K. Gupta Stefano Ermon Stanford University

Source URL: jmlr.org

• Applied mathematics
• Statistics
• Numerical analysis
• Computational statistics
• Machine learning
• Cybernetics
• Apprenticeship learning
• Reinforcement learning
• Artificial neural network
• Mathematical optimization
• Loss function
• Sine

Principles for the virtual reconstruction of hominin crania

Source URL: theoretical.univie.ac.at

• Bioinformatics
• Biometrics
• Procrustes analysis
• Morphometrics
• Thin plate spline
• Spline
• Mrs. Ples
• Australopithecus africanus
• Specimens of Tyrannosaurus
• Statistics
• Analysis
• Applied mathematics

PDF Document

Source URL: mcqmc2016.stanford.edu

• Monte Carlo methods
• Statistics
• Applied mathematics
• Probability
• Quasirandomness
• Quasi-Monte Carlo method
• Computational physics
• Sampling techniques
• Statistical mechanics
• Markov chain Monte Carlo
• Monte Carlo
• Monte

Fast Hierarchical Clustering and Other Applications of Dynamic Closest Pairs David Eppstein∗ Abstract dynamic closest pair problem. It can be solved by brute force 2 We develop data structures for dynamic closest pair

Source URL: bioinfo.ict.ac.cn

• Mathematics
• Statistics
• Applied mathematics
• Data mining
• Search algorithms
• Approximation algorithms
• Discrete geometry
• Nearest neighbor search
• Numerical analysis
• Hierarchical clustering
• Cluster analysis
• K-means clustering

Mining Data that Changes 17 July 2015 Data is Not Static •

Source URL: people.mmci.uni-saarland.de

• Machine learning
• Data mining
• Mathematics
• Algorithms
• Streaming algorithm
• Dynamic problem
• Matrix
• Concept drift
• Learning
• Multivariate statistics
• Non-negative matrix factorization
• Applied mathematics