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AAAI
1997
15 years 5 months ago
Effective Bayesian Inference for Stochastic Programs
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
Daphne Koller, David A. McAllester, Avi Pfeffer
195
Voted
ESANN
2000
15 years 5 months ago
A neural network approach to adaptive pattern analysis - the deformable feature map
Abstract. In this paper, we presen t an algorithm that provides adaptive plasticity in function approximation problems: the deformable (feature) map (DM) algorithm. The DM approach...
Axel Wismüller, Frank Vietze, Dominik R. Ders...
148
Voted
PAMI
2010
132views more  PAMI 2010»
15 years 2 months ago
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
Tobias Glasmachers, Christian Igel
CVPR
2007
IEEE
16 years 5 months ago
Radiometric Calibration from Noise Distributions
A method is proposed for estimating radiometric response functions from noise observations. From the statistical properties of noise sources, the noise distribution for each scene...
Yasuyuki Matsushita, Stephen Lin
135
Voted
DCC
2011
IEEE
14 years 10 months ago
Distributed Quantization of Order Statistics with Applications to CSI Feedback
Feedback of channel state information (CSI) in wireless systems is essential in order to exploit multi-user diversity and achieve the highest possible performace. When each spatia...
Matthew Pugh, Bhaskar D. Rao