A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
In the last decades, there has been an increasing interest in the connection between planning and constraint programming. Several approaches were used, leading to different forms ...
This paper concerns the solution of demand versions of interprocedural analysis problems. In a demand version of a program-analysis problem, some piece of summary information (e.g...
This article deals with the resolution of over-constrained problems using constraint programming, which often imposes to add to the constraint network new side constraints. These ...
The subset sum problem (SSP) (given n numbers and a target bound B, find a subset of the numbers summing to B), is one of the classical NP-hard problems. The hardness of SSP vari...