Sciweavers

336 search results - page 57 / 68
» Extreme logistic regression
Sort
View
BMCBI
2008
171views more  BMCBI 2008»
14 years 9 months ago
A general approach to simultaneous model fitting and variable elimination in response models for biological data with many more
Background: With the advent of high throughput biotechnology data acquisition platforms such as micro arrays, SNP chips and mass spectrometers, data sets with many more variables ...
Harri T. Kiiveri
EOR
2007
165views more  EOR 2007»
14 years 9 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
74
Voted
ISSTA
2004
ACM
15 years 3 months ago
Where the bugs are
The ability to predict which files in a large software system are most likely to contain the largest numbers of faults in the next release can be a very valuable asset. To accomp...
Thomas J. Ostrand, Elaine J. Weyuker, Robert M. Be...
SEDE
2007
14 years 11 months ago
Case study: A tool centric approach for fault avoidance in microchip designs
— Achieving reliability in fault tolerant systems requires both avoidance and redundancy. This study focuses on avoidance as it pertains to the design of microchips. The lifecycl...
Clemente Izurieta
CORR
2008
Springer
142views Education» more  CORR 2008»
14 years 9 months ago
A Gaussian Belief Propagation Solver for Large Scale Support Vector Machines
Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...
Danny Bickson, Elad Yom-Tov, Danny Dolev