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» On Approximating Real-World Halting Problems
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RC
1998
66views more  RC 1998»
13 years 7 months ago
An Interval Polynomial Interpolation Problem and Its Lagrange Solution
Numerical interpolation and approximation are powerful tools to solve real world application problems. To take data measurement errors into considerations of interpolating a d deg...
Chenyi Hu, Angelina Cardenas, Stephanie Hoogendoor...
MP
2006
90views more  MP 2006»
13 years 7 months ago
Solving multistage asset investment problems by the sample average approximation method
The vast size of real world stochastic programming instances requires sampling to make them practically solvable. In this paper we extend the understanding of how sampling affects ...
Jörgen Blomvall, Alexander Shapiro
GLOBECOM
2009
IEEE
14 years 2 months ago
Data Acquisition through Joint Compressive Sensing and Principal Component Analysis
—In this paper we look at the problem of accurately reconstructing distributed signals through the collection of a small number of samples at a data gathering point. The techniqu...
Riccardo Masiero, Giorgio Quer, Daniele Munaretto,...
ICML
2007
IEEE
14 years 8 months ago
Supervised feature selection via dependence estimation
We introduce a framework for filtering features that employs the Hilbert-Schmidt Independence Criterion (HSIC) as a measure of dependence between the features and the labels. The ...
Le Song, Alex J. Smola, Arthur Gretton, Karsten M....
JMLR
2010
118views more  JMLR 2010»
13 years 2 months ago
Gaussian processes with monotonicity information
A method for using monotonicity information in multivariate Gaussian process regression and classification is proposed. Monotonicity information is introduced with virtual derivat...
Jaakko Riihimäki, Aki Vehtari