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ICPR
2000
IEEE
16 years 28 days ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes
HASKELL
2006
ACM
15 years 5 months ago
Statically typed linear algebra in Haskell
Many numerical algorithms are specified in terms of operations on vectors and matrices. Matrix operations can be executed extremely efficiently using specialized linear algebra k...
Frederik Eaton
KDD
2002
ACM
106views Data Mining» more  KDD 2002»
16 years 7 days ago
Selecting the right interestingness measure for association patterns
Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as...
Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava
ATAL
2008
Springer
15 years 1 months ago
On the importance of migration for fairness in online grid markets
Computational grids offer users a simple access to tremendous computer resources for solving large scale computing problems. Traditional performance analysis of scheduling algorit...
Lior Amar, Ahuva Mu'alem, Jochen Stößer
LICS
1999
IEEE
15 years 4 months ago
Proving Security Protocols Correct
Security protocols use cryptography to set up private communication channels on an insecure network. Many protocols contain flaws, and because security goals are seldom specified ...
Lawrence C. Paulson