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» On Using Machine Learning for Logic BIST
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BCS
2008
13 years 9 months ago
A Customisable Multiprocessor for Application-Optimised Inductive Logic Programming
This paper describes a customisable processor designed to accelerate execution of inductive logic programming, targeting advanced field-programmable gate array (FPGA) technology. ...
Andreas Fidjeland, Wayne Luk, Stephen Muggleton
SEMWEB
2004
Springer
14 years 25 days ago
Learning Meta-descriptions of the FOAF Network
We argue that in a distributed context, such as the Semantic Web, ontology engineers and data creators often cannot control (or even imagine) the possible uses their data or ontolo...
Gunnar Aastrand Grimnes, Peter Edwards, Alun D. Pr...
ICANN
2009
Springer
14 years 3 days ago
Constrained Learning Vector Quantization or Relaxed k-Separability
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Marek Grochowski, Wlodzislaw Duch
AAAI
1994
13 years 8 months ago
Recovering Software Specifications with Inductive Logic Programming
We consider using machine learning techniques to help understand a large software system. In particular, we describe how learning techniques can be used to reconstruct abstract Da...
William W. Cohen
FSKD
2007
Springer
277views Fuzzy Logic» more  FSKD 2007»
14 years 1 months ago
Autonomous Robot Control Using Evidential Reasoning
Evidence theory has been widely applied to uncertainty reasoning. In this paper a finite state machine with evidential reasoning is proposed to control autonomous robots. The Khep...
Qingxiang Wu, David A. Bell, Rashid Hafeez Khokhar...