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JMLR
2011
187views more  JMLR 2011»
14 years 11 months ago
Robust Statistics for Describing Causality in Multivariate Time Series
A widely agreed upon definition of time series causality inference, established in the seminal 1969 article of Clive Granger (1969), is based on the relative ability of the histor...
Florin Popescu
ICML
2007
IEEE
16 years 5 months ago
Boosting for transfer learning
Traditional machine learning makes a basic assumption: the training and test data should be under the same distribution. However, in many cases, this identicaldistribution assumpt...
Wenyuan Dai, Qiang Yang, Gui-Rong Xue, Yong Yu
ICML
2002
IEEE
16 years 5 months ago
Learning the Kernel Matrix with Semi-Definite Programming
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...
ICSE
2005
IEEE-ACM
16 years 4 months ago
Efficient and precise dynamic impact analysis using execute-after sequences
As software evolves, impact analysis estimates the potential effects of changes, before or after they are made, by identifying which parts of the software may be affected by such ...
Taweesup Apiwattanapong, Alessandro Orso, Mary Jea...
POPL
2010
ACM
16 years 1 months ago
Compositional May-Must Program Analysis: Unleashing the Power of Alternation
Program analysis tools typically compute two types of information: (1) may information that is true of all program executions and is used to prove the absence of bugs in the progr...
Aditya V. Nori, Patrice Godefroid, SaiDeep Tetali,...