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

Modeling Multivariate Extreme Events Using Self-Exciting Point Processes Oliver Grothea , Volodymyr Korniichukb,∗, Hans Mannera a University of Cologne, Department of Economic and Social Statistics

Source URL: www.wisostat.uni-koeln.de

Microsoft Word - han_giw_2008_final.doc

Source URL: www.jsbi.org

• Multivariate statistics
• Statistics
• Machine learning
• Learning
• Statistical classification
• Dimension reduction
• Linear algebra
• Non-negative matrix factorization
• Support vector machine
• Kernel principal component analysis
• Principal component analysis
• Nonlinear dimensionality reduction

Research Paper The reflection of hierarchical cluster analysis of co-occurrence matrices in SPSS Qiuju ZHOU1, Fuhai LENG1† & Loet LEYDESDORFF2 National Science Library, Chinese Academy of Sciences, Beijing, Chi

Source URL: 159.226.100.150

• Multivariate statistics
• Bioinformatics
• Matrix theory
• Factor analysis
• Matrices
• SPSS
• Hierarchical clustering
• Cluster analysis
• Matrix
• Distance matrix
• Co-occurrence matrix
• Similarity measure

Rehabilitation of Count-based Models for Word Vector Representations R´ emi Lebret1,2 and Ronan Collobert1 Idiap Research Institute, Martigny, Switzerland

Source URL: ronan.collobert.com

• Artificial intelligence
• Machine learning
• Learning
• Natural language processing
• Multivariate statistics
• Artificial neural networks
• Statistics
• Semantics
• Word embedding
• Latent semantic analysis
• Word2vec
• Principal component analysis

Personalized Recommendation via Cross-Domain Triadic Factorization

Source URL: www2013.wwwconference.org

• Linear algebra
• Matrix theory
• Multivariate statistics
• Recommender systems
• Collaboration
• Matrix
• Singular value decomposition
• Factor analysis
• Collaborative filtering
• Eigenvalues and eigenvectors
• Protein domain
• Factorization

Robust Multivariate Autoregression for Anomaly Detection in Dynamic Product Ratings Nikou Günnemann Stephan Günnemann

Source URL: www.cs.cmu.edu

• Statistics
• Probability distributions
• Time series models
• Robust statistics
• Statistical theory
• Regression analysis
• Outlier
• Autoregressive model
• Errors and residuals
• Normal distribution
• Principal component analysis
• Exponential distribution

David Weenink Speaker-adaptive vowel identification Speaker-adaptive vowel identification

Source URL: www.fon.hum.uva.nl

• Statistics
• Multivariate statistics
• Applied mathematics
• Data analysis
• Artificial neural networks
• Computational neuroscience
• Computational statistics
• Statistical classification
• Principal component analysis
• Linear discriminant analysis
• Artificial neuron
• Algorithm

Lithium Batteries: Structure and Efficiency Optimizing Charge Time Prof. Jayadev Athreya, Yuliy Baryshnikov, Anil Hirani Justin Faber, Cheng Wang, Jialiang Wang December 12, 2013 Abstract

Source URL: www.math.illinois.edu

• Covariance and correlation
• Independence
• Multivariate statistics
• Lithium
• Correlation and dependence
• Canonical correlation
• Degrees of freedom
• Physics
• Matter
• Nature

Translation Invariant Word Embeddings Matt Gardner∗ Carnegie Mellon University Kejun Huang∗

Source URL: www.talukdar.net

• Algebra
• Mathematics
• Linear algebra
• Natural language processing
• Matrix theory
• Abstract algebra
• Multivariate statistics
• Latent semantic analysis
• Document-term matrix
• Singular value decomposition
• Matrix
• Word embedding