An important aspect of clustering algorithms is whether the partitions constructed on finite samples converge to a useful clustering of the whole data space as the sample size inc...
Ulrike von Luxburg, Olivier Bousquet, Mikhail Belk...
Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
There exist two types of wrappers: the string based wrapper such as the LR wrapper, and the tree based wrapper. A tree based wrapper designates extraction regions by nodes on the ...
Many host-based anomaly detection systems monitor a process ostensibly running a known program by observing the system calls the process makes. Numerous improvements to the precis...
In any hierarchical radiosity method, the most expensive part is the evaluation of the visibility. Many methods use sampling and ray casting to determine this term. Space partitio...