55 search results - page 9 / 11 » Linear Regression With Gaussian Model Uncertainty: Algorithm... |
NIPS
1998
13 years 8 months ago
1998
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
EOR
2007
13 years 7 months ago
2007
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
SIAMCO
2000
13 years 7 months ago
2000
In this paper, a perturbation expansion technique is introduced to decompose the tracking error of a general adaptive tracking algorithm in a linear regression model. This method ...
MP
2007
13 years 6 months ago
2007
We present a probabilistic analysis of integer linear programs (ILPs). More specifically, we study ILPs in a so-called smoothed analysis in which it is assumed that first an adve...
SIGGRAPH
2000
ACM
13 years 11 months ago
2000
ACM
We present an algorithm for out-of-core simplification of large polygonal datasets that are too complex to fit in main memory. The algorithm extends the vertex clustering scheme o...