We propose a formulation of the Decision Tree learning algorithm in the Compression settings and derive tight generalization error bounds. In particular, we propose Sample Compres...
Stochastic orders can be applied to Markov reward models and used to aggregate models, while introducing a bounded error. Aggregation reduces the number of states in a model, miti...
Test is often seen as a necessary evil; it is a fact of life that ICs have manufacturing defects and those need to be filtered out by testing before the ICs are shipped to the cu...
Erik Jan Marinissen, Bart Vermeulen, Robert Madge,...