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» Graph-based induction and its applications
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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...
ISCC
2000
IEEE
106views Communications» more  ISCC 2000»
14 years 2 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...
KBSE
1997
IEEE
13 years 12 months ago
Moving Proofs-As-Programs into Practice
Proofs in the Nuprl system, an implementation of a constructive type theory, yield “correct-by-construction” programs. In this paper a new methodology is presented for extract...
James L. Caldwell
DICS
2006
13 years 11 months ago
Fault-Tolerant Parallel Applications with Dynamic Parallel Schedules: A Programmer's Perspective
Dynamic Parallel Schedules (DPS) is a flow graph based framework for developing parallel applications on clusters of workstations. The DPS flow graph execution model enables automa...
Sebastian Gerlach, Basile Schaeli, Roger D. Hersch
MMS
2007
13 years 7 months ago
Modeling user context with applications to media retrieval
In this paper, we develop a theoretical understanding of multi-sensory knowledge and user context and their interrelationships. This is used to develop a generic representation fr...
Ankur Mani, Hari Sundaram