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MOR
2008
81views more  MOR 2008»
15 years 21 days ago
Risk Tuning with Generalized Linear Regression
A framework is set up in which linear regression, as a way of approximating a random variable by other random variables, can be carried out in a variety of ways, which moreover ca...
R. Tyrrell Rockafellar, Stan Uryasev, Michael Zaba...
MONET
2006
107views more  MONET 2006»
15 years 21 days ago
Utilization and fairness in spectrum assignment for opportunistic spectrum access
The Open Spectrum approach to spectrum access can achieve near-optimal utilization by allowing devices to sense and utilize available spectrum opportunistically. However, a naive d...
Chunyi Peng, Haitao Zheng, Ben Y. Zhao
MP
2006
107views more  MP 2006»
15 years 21 days ago
Convergence theory for nonconvex stochastic programming with an application to mixed logit
Monte Carlo methods have been used extensively in the area of stochastic programming. As with other methods that involve a level of uncertainty, theoretical properties are required...
Fabian Bastin, Cinzia Cirillo, Philippe L. Toint
PAMI
2008
135views more  PAMI 2008»
15 years 21 days ago
MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm
In this paper, we develop a new effective multiple kernel learning algorithm. First, we map the input data into m different feature spaces by m empirical kernels, where each genera...
Zhe Wang, Songcan Chen, Tingkai Sun
PR
2008
123views more  PR 2008»
15 years 21 days ago
Extensions of vector quantization for incremental clustering
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
Edwin Lughofer