243 search results - page 6 / 49 » Non-linear regression models for Approximate Bayesian Comput... |
BMCBI
2007
13 years 7 months ago
2007
Background: Although testing for simultaneous divergence (vicariance) across different population-pairs that span the same barrier to gene flow is of central importance to evoluti...
BMCBI
2008
13 years 7 months ago
2008
Background: Identifying genes and pathways associated with diseases such as cancer has been a subject of considerable research in recent years in the area of bioinformatics and co...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Kernel logistic regression models, like their linear counterparts, can be trained using the efficient iteratively reweighted least-squares (IRWLS) algorithm. This approach suggest...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
In this paper, we develop an efficient logistic regression model for multiple instance learning that combines L1 and L2 regularisation techniques. An L1 regularised logistic regr...
ML
2002
ACM
13 years 7 months ago
2002
ACM
When simple parametric models such as linear regression fail to adequately approximate a relationship across an entire set of data, an alternative may be to consider a partition o...