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101
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CORR
2010
Springer
108views Education» more  CORR 2010»
15 years 2 months ago
Mining The Successful Binary Combinations: Methodology and A Simple Case Study
The importance of finding the characteristics leading to either a success or a failure is one of the driving forces of data mining. The various application areas of finding succes...
Yuval Cohen
UAI
2001
15 years 3 months ago
Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk
We present an iterative Markov chain Monte Carlo algorithm for computing reference priors and minimax risk for general parametric families. Our approach uses MCMC techniques based...
John D. Lafferty, Larry A. Wasserman
102
Voted
NIPS
2007
15 years 3 months ago
A Risk Minimization Principle for a Class of Parzen Estimators
This paper1 explores the use of a Maximal Average Margin (MAM) optimality principle for the design of learning algorithms. It is shown that the application of this risk minimizati...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
113
Voted
SIAMJO
2002
120views more  SIAMJO 2002»
15 years 1 months ago
Dual Stochastic Dominance and Related Mean-Risk Models
We consider the problem of constructing mean{risk models which are consistent with the second degree stochastic dominance relation. By exploiting duality relations of convex analys...
Wlodzimierz Ogryczak, Andrzej Ruszczynski
109
Voted
HICSS
2009
IEEE
128views Biometrics» more  HICSS 2009»
15 years 5 months ago
Cyber Security Risks Assessment with Bayesian Defense Graphs and Architectural Models
To facilitate rational decision making regarding cyber security investments, decision makers need to be able to assess expected losses before and after potential investments. This...
Teodor Sommestad, Mathias Ekstedt, Pontus Johnson