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ILP
2001
Springer
15 years 11 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
163
Voted
AMC
2008
78views more  AMC 2008»
15 years 7 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
185
Voted
ICRA
2008
IEEE
135views Robotics» more  ICRA 2008»
16 years 1 months 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
187
Voted
CLUSTER
2006
IEEE
15 years 7 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...
145
Voted
SAC
2008
ACM
15 years 6 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...