If there exist efficient procedures (canonizers) for reducing terms of two first-order theories to canonical form, can one use them to construct such a procedure for terms of the d...
This paper introduces a strategy for training ensemble classifiers by analysing boosting within margin theory. We present a bound on the generalisation error of ensembled classifi...
Huma Lodhi, Grigoris J. Karakoulas, John Shawe-Tay...
We consider computational issues in combining logical knowledge bases represented by their characteristic models; in particular, we study taking their logical intersection. We pre...
Multitasking in user behavior can be represented along a continuum in terms of the time spent on one task before switching to another. In this paper, we present a theory of behavi...
a growing need to study abstract problems in distributed multi-agent systems in a systematic way, as well as to provide a qualitative mathematical framework in which to compare po...