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ILP
2001
Springer
15 years 10 months ago
Learning Functions from Imperfect Positive Data
The Bayesian framework of learning from positive noise-free examples derived by Muggleton [12] is extended to learning functional hypotheses from positive examples containing norma...
Filip Zelezný
AMC
2008
78views more  AMC 2008»
15 years 6 months ago
Information processing in complex networks: Graph entropy and information functionals
This paper introduces a general framework for defining the entropy of a graph. Our definition is based on a local information graph and on information functionals derived from the...
Matthias Dehmer
156
Voted
ICRA
2008
IEEE
135views Robotics» more  ICRA 2008»
16 years 17 days ago
Distributed grasp synthesis for swarm manipulation with applications to autonomous tugboats
— Assume a swarm of mobile robots is in the act of transporting a large object in the plane, by applying unilateral forces to the perimeter of that object. We address the questio...
Joel M. Esposito
CLUSTER
2006
IEEE
15 years 6 months ago
A flexible multi-dimensional QoS performance measure framework for distributed heterogeneous systems
When users' tasks in a distributed heterogeneous computing environment (e.g., cluster of heterogeneous computers) are allocated resources, the total demand placed on some sys...
Jong-Kook Kim, Debra A. Hensgen, Taylor Kidd, Howa...
SAC
2008
ACM
15 years 5 months ago
Extending peer-to-peer networks for approximate search
This paper proposes a way to enable approximate queries in a peer-to-peer network by using a special encoding function and error correcting codes. The encoding function maintains ...
Alain Mowat, Roman Schmidt, Michael Schumacher, Io...