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ICML
2002
IEEE
16 years 2 months ago
Learning to Share Distributed Probabilistic Beliefs
In this paper, we present a general machine learning approach to the problem of deciding when to share probabilistic beliefs between agents for distributed monitoring. Our approac...
Christopher Leckie, Kotagiri Ramamohanarao
CEC
2009
IEEE
15 years 8 months ago
Structure learning and optimisation in a Markov-network based estimation of distribution algorithm
—Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...
Alexander E. I. Brownlee, John A. W. McCall, Siddh...
APPROX
2005
Springer
80views Algorithms» more  APPROX 2005»
15 years 6 months ago
On Learning Random DNF Formulas Under the Uniform Distribution
Abstract: We study the average-case learnability of DNF formulas in the model of learning from uniformly distributed random examples. We define a natural model of random monotone ...
Jeffrey C. Jackson, Rocco A. Servedio
HICSS
2002
IEEE
111views Biometrics» more  HICSS 2002»
15 years 6 months ago
Voice Annotation of Multimedia Artifacts: Reflective Learning in Distributed Professional Communities
This paper reports on a UK ESRC-funded project studying representations of practice, in video clips and voice annotations, for professional collaborative learning in distributed o...
Christine Steeples
WEBNET
1998
15 years 2 months ago
PLATINUM: Worldwide Distributed Courseware Production, Learning and Training using MTS
: This paper presents the modular training system MTS, the PLATINUM1 -Net, a worldwide network for innovative learning and advanced training, and distributed collaborative training...
Christoph Hornung, L. Miguel Encarnaç&atild...