自适应采样盒

Adaptive Sampling Kit (ASK) is a toolkit for sampling big experimental spaces. It features multiple active learning algorithms to prioritize the exploration of the interesting parts of the experimental space. To learn more about ASK, have a look at the documentation. 2015-04-07: ASK home as moved to [Github](https://github.com/benchmark-subsetting/adaptive-sampling-kit). This page is obsolete and will not be upgraded anymore. 2013-06-22: New ASK release 1.01. Includes by default the GBM weighting algorithm presented in \_Adaptive Sampling for Performance Characterization of Application Kernels\_, P. de Oliveira Castro, E. Petit, A. Farjallah, W. Jalby, Concurrency and Computation: Practice and Experience. (2013) 2013-09-12: Adaptive Sampling Kit is in Debian. If you are running Debian Unstable, yo