High-performance microprocessors are currently designed to exploit the inherent instruction level parallelism (ILP) available in most applications. The techniques used in their de...
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart ...
Naive Bayesian classifiers have been very successful in attribute-value representations. However, it is not clear how the decomposition of the probability distributions on attribu...
A method for learning multivariate time series classifiers by inductive logic programming is presented. Two types of background predicate that are suited for this task are introduc...
Abstract. Recent work has shown that the subtasks of register allocation (spilling, register assignment, and coalescing) can be completely separated. This work presents an algorith...