Combining multiple classifiers via combining schemes or meta-learners has led to substantial improvements in many classification problems. One of the challenging tasks is to choos...
Many interesting Web-based AI problems require the ability to collect, store and process large text datasets. To address this problem, we have developed Slashpack, an integrated t...
Christopher H. Brooks, Monica Agarwal, Jason Endo,...
Symmetry in constraint satisfaction problems (CSPs) has been considered in two fundamentally different ways: as an operation preserving the solutions of a CSP instance, or as an o...
David A. Cohen, Peter Jeavons, Christopher Jeffers...
Pearl's probabilistic causal model has been used in many domains to reason about causality. Pearl's treatment of actions is very different from the way actions are repre...
We investigate the modelling of workflows, plans, and other event-generating processes as discrete event sources and reason about the possibility of having event sequences ending ...