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» Integrating Abduction and Induction
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AIIA
2005
Springer
14 years 1 months ago
Handling Continuous-Valued Attributes in Incremental First-Order Rules Learning
Machine Learning systems are often distinguished according to the kind of representation they use, which can be either propositional or first-order logic. The framework working wi...
Teresa Maria Altomare Basile, Floriana Esposito, N...
GLVLSI
2010
IEEE
119views VLSI» more  GLVLSI 2010»
14 years 22 days ago
Line width optimization for interdigitated power/ground networks
Higher operating frequencies have increased the importance of inductance in power and ground networks. The effective inductance of the power and ground network can be reduced with...
Renatas Jakushokas, Eby G. Friedman
ISCC
2000
IEEE
106views Communications» more  ISCC 2000»
14 years 1 days ago
Packet Scheduling Based on Learning in the Next Generation Internet Architectures
With multimedia applications, the Internet traffic increased a lot in volume, but also suffered major alterations in its nature, requesting other network services besides the curr...
Alencar de Melo Jr., Juan Manuel Adán Coell...
ECAI
2004
Springer
13 years 11 months ago
Bias Windowing for Relational Learning
A central issue in relational learning is the choice of an appropriate bias for limiting first-order induction. The purpose of this study is to circumvent this issue within a unifo...
Frédéric Koriche
IJCAI
2007
13 years 9 months ago
Towards Reasoning about the Past in Neural-symbolic Systems
Reasoning about the past is of fundamental importance in several applications in computer science and artificial intelligence, including reactive systems and planning. In this pa...
Rafael V. Borges, Luís C. Lamb, Artur S. d'...