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...
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...
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. ...
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...
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,...