Capturing Correlation in Route Choice Models using Subnetworks Emma Frejinger, EPFL Michel Bierlaire, EPFL Conference paper STRC 2006

Source URL: www.strc.ch

• Regression analysis
• Choice modelling
• Statistical models
• Discrete choice
• Logit
• Multinomial logistic regression
• Multinomial probit
• Logistic regression

RAPID COMMUNICATIONS PHYSICAL REVIEW B 83, RMixed-valence behavior and strong correlation effects of metal phthalocyanines adsorbed on metals S. Stepanow,1 P. S. Miedema,2 A. Mugarza,1 G. Ceballos,1 P. M

Source URL: www.intermag.mat.ethz.ch

SUPPLEMENT TO “MINIMAX ESTIMATION IN SPARSE CANONICAL CORRELATION ANALYSIS” BY Chao Gao1 , Zongming Ma2 , Zhao Ren1 and Harrison H. Zhou1 1 Yale University and 2 University of Pennsylvania

Source URL: www.stat.yale.edu

SEC – a Lightweight Event Correlation Tool Risto Vaarandi Copyright ©2002 IEEE. Reprinted from Proceedings of the 2002 IEEE Workshop on IP Operations and Management. (ISBN: )

Source URL: ristov.github.io

• Software
• Information technology management
• System software
• Network management
• System administration
• Causal inference
• Causality
• Event correlation
• Event Management
• HP OpenView
• Bro
• OpenNMS

Technical Committee Network Call Correlation Identifier v1.0 AF-CS

Source URL: www.broadband-forum.org

  Texas  Essential  Knowledge  and   Skills  for  Mathematics   Correlation  to  Eureka  Math      

Source URL: greatminds.net

Optimization-based Clustering approach of heterogeneous networks with robust network components Mohammadreza Saeedmanesh, EPFL Nikolas Geroliminis, EPFL Conference paper STRC 2015

Source URL: www.strc.ch

• Computing
• Data mining
• Cluster analysis
• Geostatistics
• Fault-tolerant computer systems
• Statistics
• Image segmentation
• Computer cluster
• Mathematical optimization
• HCS clustering algorithm
• Correlation clustering

Lossy and Correlation-Secure Trapdoor Functions LTDFs from Quadratic Residuosity LTDFs from d -Linear assumptions More Constructions of Lossy and Correlation-Secure Trapdoor Functions

Source URL: theory.stanford.edu

Audiovisual Particles Mapping strategies for a perceptual correlation between visual particles and audio grains 1. INTRODUCTION Parameter mapping strategies arguably provide a conceptual framework for the creation of aud

Source URL: www.seeingsound.co.uk

UNSUPERVISED LEARNING OF ACOUSTIC FEATURES VIA DEEP CANONICAL CORRELATION ANALYSIS Weiran Wang1 1 TTI-Chicago

Source URL: ttic.uchicago.edu