The transition from single-core to multi-core processors has made multi-threaded software an important subject over the last years in computer-aided verification. Model checkers ...
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
The k-means algorithm is a well-known method for partitioning n points that lie in the d-dimensional space into k clusters. Its main features are simplicity and speed in practice....
The notion of algorithmic stability has been used effectively in the past to derive tight generalization bounds. A key advantage of these bounds is that they are designed for spec...
Schedulability analysis is a cornerstone of modern real-time scheduling theory development. Utilizationbound based schedulability test is considered one of most efficient and effe...