Dirichlet labeling and hierarchical processes for clustering functional data XuanLong Nguyen Department of Statistics University of Michigan

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

• Cluster analysis
• Geostatistics
• Stochastic processes
• Data mining
• Image segmentation
• Dirichlet process
• Mixture model
• Correlation clustering

Functional Subspace Clustering with Application to Time Series Mohammad Taha Bahadori∗ MOHAMMAB @ USC . EDU David Kale∗† DKALE @ USC . EDU

Source URL: jmlr.org

• Machine learning
• Statistics
• Learning
• Artificial intelligence
• Multivariate statistics
• Dynamic programming
• Cluster analysis
• Data mining
• Geostatistics
• K-means clustering
• Principal component analysis
• Dynamic time warping

A Static Analyzer for Large Safety-Critical Software (Extended Abstract) Bruno Blanchet ∗ § Laurent Mauborgne § Patrick Cousot §

Source URL: www-verimag.imag.fr

• Computing
• Software engineering
• Computer programming
• Abstract interpretation
• Data types
• Functional languages
• Denotational semantics
• Function
• Array data type
• Scala
• Widening
• Data-flow analysis

Comparative Methods for the Analysis of Gene-Expression Evolution: An Example Using Yeast Functional Genomic Data Todd H. Oakley,* 1 Zhenglong Gu,* Ehab Abouheif, 3 Nipam H. Patel, 2 and Wen-Hsiung Li* *Ecology and Ev

Source URL: biology.mcgill.ca

• Biology
• Gene expression
• Molecular genetics
• Molecular evolution
• Mutation
• Phylogenetics
• Ridge
• Phylogenetic comparative methods
• Gene regulatory network
• Evolution by gene duplication
• Bioinformatics
• Gene duplication

Functional similarities in spatially correlated location choice models: An idea sketch Veronika Killer, IVT, ETH Zürich Kay W. Axhausen, IVT, ETH Zürich Conference paper STRC 2011

Source URL: www.strc.ch

• Transportation planning
• Data
• Statistics
• Geography
• Statistical models
• Simulation
• Geographic data and information
• Geostatistics
• Spatial analysis
• Discrete choice
• Choice modelling
• Mode choice

Evaluating the Design of the R Language Objects and Functions For Data Analysis Flor´eal Morandat Brandon Hill

Source URL: r.cs.purdue.edu

• Subroutines
• Closure
• Scope
• R
• Parameter
• Lazy evaluation
• Monad
• Fold
• Futures and promises
• Functional programming
• Multiple dispatch
• Variable

PyMVPA: A Python toolbox for multivariate pattern analysis of fMRI data Michael Hanke∗1,2 , Yaroslav O. Halchenko4,5 , Per B. Sederberg7,8 , Stephen Jos´e Hanson4,6 , James V. Haxby9,10 , and Stefan Pollmann1,2,3

Source URL: haxbylab.dartmouth.edu

• Artificial intelligence
• Machine learning
• Statistical classification
• Learning
• Ensemble learning
• Functional magnetic resonance imaging
• Boosting
• Support vector machine
• Pattern recognition
• K-nearest neighbors algorithm
• Multi-label classification
• Binning

132 Genome Informatics 16(1): 132–Efficient Determination of Cluster Boundaries for Analysis of Gene Expression Profile Data Using

Source URL: www.jsbi.org

• Mathematical analysis
• Signal processing
• Electrical engineering
• Mathematics
• Wavelets
• Functional analysis
• Image compression
• Numerical analysis
• Hierarchical clustering
• Cluster analysis
• Discrete wavelet transform
• Continuous wavelet transform

LogGC: Garbage Collecting Audit Log Kyu Hyung Lee Xiangyu Zhang Dongyan Xu Department of Computer Science and CERIAS, Purdue University West Lafayette, IN 47907, USA

Source URL: friends.cs.purdue.edu

• Computing
• Software
• Object-oriented programming languages
• Data management
• Computer systems
• Concurrent programming languages
• Functional languages
• Tuple
• Scala
• Log analysis
• Extensible Storage Engine
• Logfile

SUPPLEMENTAL MATERIAL Stringing High Dimensional Data for Functional Analysis ¨ Kun CHEN, Kehui CHEN, Hans-Georg MULLER

Source URL: anson.ucdavis.edu