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1,374
Penalties.....................................
, 2004
"... Output controls.......................................................................................................................... 5 Competitive quotas................................................................................................................ 5 Allocated quotas........... ..."
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............................................................................................................................... 10 Other forms of effort control................................................................................................. 12 Technical measures................................................................................................................. 13 Gear restrictions
Exponential hedging and entropic penalties
- Mathematical Finance
, 2002
"... ¤ corresponding author Abstract: We solve the problem of hedging a contingent claim B by maximizing the ex-pected exponential utility of terminal net wealth for a locally bounded semi-martingale X. We prove a duality relation between this problem and a dual problem for local martingale measures Q fo ..."
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Cited by 118 (7 self)
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¤ corresponding author Abstract: We solve the problem of hedging a contingent claim B by maximizing the ex-pected exponential utility of terminal net wealth for a locally bounded semi-martingale X. We prove a duality relation between this problem and a dual problem for local martingale measures Q
Use of receiver operating characteristic (ROC) analysis to evaluate sequence matching
- Computers and Chemistry
, 1996
"... In this paper, we borrow the idea of the Receiver Operating Characteristic (ROC) from clinical medicine and demonstrate its application to sequence comparison. The ROC includes elements of both sensitivity and specificity, and is a quantitative measure of the usefulness of a diagnostic. The ROC is u ..."
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Cited by 265 (5 self)
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In this paper, we borrow the idea of the Receiver Operating Characteristic (ROC) from clinical medicine and demonstrate its application to sequence comparison. The ROC includes elements of both sensitivity and specificity, and is a quantitative measure of the usefulness of a diagnostic. The ROC
A Sparse Signal Reconstruction Perspective for Source Localization With Sensor Arrays
, 2005
"... We present a source localization method based on a sparse representation of sensor measurements with an overcomplete basis composed of samples from the array manifold. We enforce sparsity by imposing penalties based on the 1-norm. A number of recent theoretical results on sparsifying properties of ..."
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Cited by 231 (6 self)
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We present a source localization method based on a sparse representation of sensor measurements with an overcomplete basis composed of samples from the array manifold. We enforce sparsity by imposing penalties based on the 1-norm. A number of recent theoretical results on sparsifying properties
nonconvex penalty
"... Motivation: With the development of DNA microarray technology, scientists can now measure the expression levels of thousands of genes simultaneously in one single experiment. One current difficulty in interpreting microarray data comes from their innate nature of “high dimension low sample size. ” T ..."
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Motivation: With the development of DNA microarray technology, scientists can now measure the expression levels of thousands of genes simultaneously in one single experiment. One current difficulty in interpreting microarray data comes from their innate nature of “high dimension low sample size
Convex risk measures and the dynamics of their penalty functions
, 2006
"... We study various properties of a dynamic convex risk measure for bounded random variables which describe the discounted terminal values of financial positions. In particular we characterize time-consistency by a joint supermartingale property of the risk measure and its penalty function. Moreover we ..."
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Cited by 45 (4 self)
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We study various properties of a dynamic convex risk measure for bounded random variables which describe the discounted terminal values of financial positions. In particular we characterize time-consistency by a joint supermartingale property of the risk measure and its penalty function. Moreover
Minimizing register usage penalty at procedure calls
- In Proceedings of Conference on Programming Language Design and Implementation
, 1988
"... Inter-procedural register allocation can minimize the register usage penalty at procedure calls by reducing the saving and restoring of registers at procedure boun-daries. A one-pass inter-procedural register allocation scheme based on processing the procedures in a depth-first traversal of the calI ..."
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Cited by 81 (3 self)
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Inter-procedural register allocation can minimize the register usage penalty at procedure calls by reducing the saving and restoring of registers at procedure boun-daries. A one-pass inter-procedural register allocation scheme based on processing the procedures in a depth-first traversal of the cal
Measuring the Effect of the EITC on Marriage Penalties and Bonuses
, 1999
"... In 2000, the EITC will increase marriage penalties by at least $3.1 billion (10.4 percent) and reduce marriage bonuses by $439 million (1.5 percent). Over half of EITC-related marriage penalties will be attributable to couples who currently are ineligible for the EITC because their income is above ..."
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Cited by 2 (0 self)
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-income taxpayers but vary in their ability to reduce marriage penalties. Measuring the Effect of the EITC on Marriage Penalties and Bonuses According to the General Accounting Office (1996), there are 59 provisions in the income tax code that either penalize or reward marriage.1 The presence of marriage penalties
Nonlinear Image Recovery with Half-Quadratic Regularization
, 1993
"... One popular method for the recovery of an ideal intensity image from corrupted or indirect measurements is regularization: minimize an objective function which enforces a roughness penalty in addition to coherence with the data. Linear estimates are relatively easy to compute but generally introduce ..."
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Cited by 209 (0 self)
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One popular method for the recovery of an ideal intensity image from corrupted or indirect measurements is regularization: minimize an objective function which enforces a roughness penalty in addition to coherence with the data. Linear estimates are relatively easy to compute but generally
Space-Alternating Generalized Expectation-Maximization Algorithm
- IEEE Trans. Signal Processing
, 1994
"... The expectation-maximization (EM) method can facilitate maximizing likelihood functions that arise in statistical estimation problems. In the classical EM paradigm, one iteratively maximizes the conditional loglikelihood of a single unobservable complete data space, rather than maximizing the intra ..."
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Cited by 193 (28 self)
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the intractable likelihood function for the measured or incomplete data. EM algorithms update all parameters simultaneously, which has two drawbacks: 1) slow convergence, and 2) difficult maximization steps due to coupling when smoothness penalties are used. This paper describes the space-alternating generalized
Results 1 - 10
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1,374