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IJDMB
2008
132views more  IJDMB 2008»
13 years 7 months ago
A Bayesian framework for knowledge driven regression model in micro-array data analysis
: This paper addresses the sparse data problem in the linear regression model, namely the number of variables is significantly larger than the number of the data points for regress...
Rong Jin, Luo Si, Christina Chan
NIPS
2004
13 years 9 months ago
Online Bounds for Bayesian Algorithms
We present a competitive analysis of Bayesian learning algorithms in the online learning setting and show that many simple Bayesian algorithms (such as Gaussian linear regression ...
Sham M. Kakade, Andrew Y. Ng
ICML
2007
IEEE
14 years 8 months ago
Trust region Newton methods for large-scale logistic regression
Large-scale logistic regression arises in many applications such as document classification and natural language processing. In this paper, we apply a trust region Newton method t...
Chih-Jen Lin, Ruby C. Weng, S. Sathiya Keerthi
DGO
2003
79views Education» more  DGO 2003»
13 years 9 months ago
Finding Outliers in Models of Spatial Data
Statistical models fit to data often require extensive and challenging re-estimation before achieving final form. For example, outliers can adversely affect fits. In other cas...
David W. Scott, J. Blair Christian
CORR
2007
Springer
127views Education» more  CORR 2007»
13 years 7 months ago
Common Reusable Verification Environment for BCA and RTL Models
This paper deals with a common verification methodology and environment for SystemC BCA and RTL models. The aim is to save effort by avoiding the same work done twice by different...
Giuseppe Falconeri, Walid Naifer, Nizar Romdhane