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JCIT
2010
160views more  JCIT 2010»
13 years 5 months ago
TOPSIS Method for Multiple Attribute Decision Making with Incomplete Weight Information in Linguistic Setting
The aim of this paper is to investigate the multiple attribute decision making problems with linguistic information, in which the information about attribute weights is incomplete...
Jianli Wei
IBPRIA
2003
Springer
14 years 3 months ago
Comparison of Log-linear Models and Weighted Dissimilarity Measures
Abstract. We compare two successful discriminative classification algorithms on three databases from the UCI and STATLOG repositories. The two approaches are the log-linear model ...
Daniel Keysers, Roberto Paredes, Enrique Vidal, He...
PVLDB
2010
140views more  PVLDB 2010»
13 years 8 months ago
Optimal Top-K Query Evaluation for Weighted Business Processes
A Business Process (BP for short) consists of a set of activities that achieve some business goal when combined in a flow. Among all the (maybe infinitely many) possible executi...
Daniel Deutch, Tova Milo, Neoklis Polyzotis, Tom Y...
ICML
2003
IEEE
14 years 11 months ago
Weighted Low-Rank Approximations
We study the common problem of approximating a target matrix with a matrix of lower rank. We provide a simple and efficient (EM) algorithm for solving weighted low-rank approximat...
Nathan Srebro, Tommi Jaakkola
VALUETOOLS
2006
ACM
14 years 4 months ago
Splitting with weight windows to control the likelihood ratio in importance sampling
Importance sampling (IS) is the most widely used efficiency improvement method for rare-event simulation. When estimating the probability of a rare event, the IS estimator is the ...
Pierre L'Ecuyer, Bruno Tuffin