Improved security proofs in lattice-based cryptography: using the Rényi divergence rather than the statistical distance Shi Bai1 , Tancrède Lepoint3 , Adeline Roux-Langlois4 , Amin Sakzad5 , Damien Stehlé2 , and Ron S

Source URL: eprint.iacr.org

• Mathematical analysis
• Mathematics
• Post-quantum cryptography
• Number theory
• Measure theory
• Cryptography
• Algebra
• Distribution
• Support
• Learning with errors
• Weight
• KullbackLeibler divergence

IEEE SIGNAL PROCESSING LETTERS, VOL. 15, Statistical Analysis of a Spike Train Distance in Poisson Models

Source URL: www.inesc-id.pt

Statistical Learning of Nonadjacencies Predicts On-line Processing of Long-Distance Dependencies in Natural Language Jennifer B. Misyak () and Morten H. Christiansen () Department

Source URL: cnl.psych.cornell.edu

That was fast! Speeding up NN search of high dimensional distributions. Emanuele Coviello University of California, San Diego, 9500 Gilman Dr, La Jolla, CA 92093

Source URL: eceweb.ucsd.edu

• Statistics
• Geometry
• Statistical distance
• Information
• Statistical theory
• Information theory
• Bregman divergence
• Search algorithms
• KullbackLeibler divergence
• Variational Bayesian methods
• Expectationmaximization algorithm
• Divergence

MEMOCODE 2014 Design Contest: k-Nearest Neighbors with Mahalanobis Distance Metric Peter Milder Department of Electrical and Computer Engineering Stony Brook University Stony Brook, NY 11794–2350

Source URL: www.ece.stonybrook.edu

• Statistics
• Data analysis
• Computing
• Search algorithms
• Covariance and correlation
• Multivariate statistics
• Machine learning
• Mahalanobis distance
• Statistical distance
• Xeon
• Nearest neighbor search
• K-nearest neighbors algorithm

Non-Parametric Jensen-Shannon Divergence Hoang-Vu Nguyen and Jilles Vreeken Max-Planck Institute for Informatics and Saarland University, Germany {hnguyen,jilles}@mpi-inf.mpg.de Abstract. Quantifying the difference betw

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

• Statistics
• Probability
• Mathematical analysis
• Information theory
• Statistical theory
• Statistical distance
• Probability distributions
• Stable distributions
• KullbackLeibler divergence
• Normal distribution
• Divergence
• Entropy

A Random Walk Framework to Compute Textual Semantic Similarity: a Unified Model for Three Benchmark Tasks Majid Yazdani Idiap Research Institute / EPFL Martigny / Lausanne, Switzerland

Source URL: majid.yazdani.me

• Information science
• Information retrieval
• Natural language processing
• Graph theory
• Markov models
• Computational linguistics
• Statistical distance
• Semantic similarity
• PageRank
• Random walk
• Latent semantic analysis
• Explicit semantic analysis

International Journal of Geographical Information Science ee rP Fo

Source URL: www.public.asu.edu

• Information science
• Information
• Statistical distance
• Cognitive science
• Knowledge representation
• Technical communication
• Knowledge engineering
• Semantic similarity
• Artificial neural network
• Semantic interoperability
• Ontology
• Semantic Web

MacroBase: Analytic Monitoring for the Internet of Things Peter Bailis†‡ , Deepak Narayanan† , Samuel Madden‡∗ arXiv:1603.00567v1 [cs.DB] 2 Mar 2016 † Stanford

Source URL: arxiv.org

• Statistics
• Robust statistics
• Outlier
• Statistical analysis
• Statistical theory
• Multivariate statistics
• Data analysis
• Mahalanobis distance
• Internet of things

GTE: A Distributional Second-Order Co-Occurrence Approach to Improve the Identification of Top Relevant Dates in Web Snippets 21st ACM International Conference on Information and Knowledge Management (CIKMMaui, Ha

Source URL: www.ccc.ipt.pt

• Computational linguistics
• Statistical distance
• Information retrieval
• Information science
• Information retrieval evaluation
• Measure theory
• Semantic similarity
• Normalized Google distance
• Ranking
• SrensenDice coefficient
• Query expansion
• Vector space model