We describe the architecture of a novel ontology and rule editor ACE View. The goal of ACE View is to simplify viewing and editing expressive and syntactically complex OWL/SWRL kno...
We present an actor-critic scheme for reinforcement learning in complex domains. The main contribution is to show that planning and I/O dynamics can be separated such that an intra...
Pedro Alejandro Ortega, Daniel Alexander Braun, Si...
Much like relational probabilistic models, the need for relational preference models arises naturally in real-world applications where the set of object classes is fixed, but obj...
We present a family of incremental Perceptron-like algorithms (PLAs) with margin in which both the "effective" learning rate, defined as the ratio of the learning rate t...
Personalisation and context-awareness are fundamental concerns in Telephony. This paper introduces a rule-based system - 4CRULES - which enables context-sensitive call control by t...
David Lesaint, Deepak Mehta, Barry O'Sullivan, Lui...