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ADVCS
2010
73views more  ADVCS 2010»
13 years 9 months ago
Instability of Portfolio Optimization under Coherent Risk Measures
It is shown that the axioms for coherent risk measures imply that whenever there is a pair of portfolios such that one of them dominates the other one in a given sample (which hap...
Imre Kondor, István Varga-Haszonits
CORR
2010
Springer
146views Education» more  CORR 2010»
13 years 9 months ago
Adaptive Submodularity: A New Approach to Active Learning and Stochastic Optimization
Solving stochastic optimization problems under partial observability, where one needs to adaptively make decisions with uncertain outcomes, is a fundamental but notoriously diffic...
Daniel Golovin, Andreas Krause
PE
2006
Springer
115views Optimization» more  PE 2006»
13 years 9 months ago
Optimal processor allocation to differentiated job flows
In this paper, we study the problem of dynamic allocation of the resources of a general parallel processing system, comprised of M heterogeneous processors and M heterogeneous tra...
Kimberly M. Wasserman, George Michailidis, Nichola...
SIAMJO
2008
97views more  SIAMJO 2008»
13 years 9 months ago
New Formulations for Optimization under Stochastic Dominance Constraints
Stochastic dominance constraints allow a decision-maker to manage risk in an optimization setting by requiring their decision to yield a random outcome which stochastically domina...
James Luedtke
ICCV
2009
IEEE
13 years 7 months ago
Consensus set maximization with guaranteed global optimality for robust geometry estimation
Finding the largest consensus set is one of the key ideas used by the original RANSAC for removing outliers in robust-estimation. However, because of its random and non-determinis...
Hongdong Li