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NIPS
2000
15 years 8 months ago
Active Learning for Parameter Estimation in Bayesian Networks
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
Simon Tong, Daphne Koller
IJET
2008
114views more  IJET 2008»
15 years 6 months ago
Proposal of convergence of e-Learning Systems for t-Learning
This article presents considerations about viability on reutilize existing web based e-Learning systems on Interactive Digital TV environment according to Digital TV standard adopt...
Barbara De Franco, Hilda Carvalho Oliveira, Everal...
COLT
1999
Springer
15 years 11 months ago
Uniform-Distribution Attribute Noise Learnability
We study the problem of PAC-learning Boolean functions with random attribute noise under the uniform distribution. We define a noisy distance measure for function classes and sho...
Nader H. Bshouty, Jeffrey C. Jackson, Christino Ta...
202
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WORDS
2005
IEEE
16 years 8 days ago
A Real-Time Distributed Scheduling Service For Middleware Systems
The latest version of Real-Time CORBA defines a Distributable Thread primitive to support real-time computing in a dynamic distributed environment. However, this standard does not...
Jiangyin Zhang, Lisa Cingiser DiPippo, Victor Fay ...
FTDCS
1997
IEEE
15 years 11 months ago
Intrusion ripple analysis in distributed information systems
: Security is a very important aspect of distributed computing systems, especially in distributed information environments involving widearea networks, such as internets. In this p...
S. S. Yau, Jun Zhu