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NPL
2002
168views more  NPL 2002»
13 years 4 months ago
Reduced Rank Kernel Ridge Regression
Ridge regression is a classical statistical technique that attempts to address the bias-variance trade-off in the design of linear regression models. A reformulation of ridge regr...
Gavin C. Cawley, Nicola L. C. Talbot
ECOOP
2006
Springer
13 years 8 months ago
Augmenting Automatically Generated Unit-Test Suites with Regression Oracle Checking
A test case consists of two parts: a test input to exercise the program under test and a test oracle to check the correctness of the test execution. A test oracle is often in the f...
Tao Xie
EUROMICRO
2007
IEEE
13 years 11 months ago
Using Model Differencing for Architecture-level Regression Testing
Regression testing can be systematically applied at the software architecture level in order to reduce the cost of retesting modified systems, and also to assess the regression t...
Henry Muccini
JMLR
2010
118views more  JMLR 2010»
12 years 12 months ago
Dirichlet Process Mixtures of Generalized Linear Models
We propose Dirichlet Process mixtures of Generalized Linear Models (DP-GLMs), a new method of nonparametric regression that accommodates continuous and categorical inputs, models ...
Lauren Hannah, David M. Blei, Warren B. Powell
NIPS
2008
13 years 6 months ago
The Infinite Hierarchical Factor Regression Model
We propose a nonparametric Bayesian factor regression model that accounts for uncertainty in the number of factors, and the relationship between factors. To accomplish this, we pr...
Piyush Rai, Hal Daumé III