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UAI
1996
13 years 10 months ago
Context-Specific Independence in Bayesian Networks
Bayesiannetworks provide a languagefor qualitatively representing the conditional independence properties of a distribution. This allows a natural and compact representation of th...
Craig Boutilier, Nir Friedman, Moisés Golds...
FLAIRS
2007
13 years 11 months ago
Context-Sensitive MTL Networks for Machine Lifelong Learning
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
Daniel L. Silver, Ryan Poirier
CISS
2007
IEEE
14 years 3 months ago
Interference Mitigating in Wireless Networks Using Prior Knowledge
Abstract— We propose a framework to mitigate the interference in high data rate mobile wireless networking. Interference is a fundamental obstacle to achieve high data rates in w...
Kejing Liu, Stephan Bohacek, Javier Garcia-Frias
HICSS
2006
IEEE
114views Biometrics» more  HICSS 2006»
14 years 3 months ago
A Preliminary Model for Generating Experience Knowledge Based Artifacts
Inspections provide an effective way of acquiring and reusing experience knowledge. Several details, in both the inspection processes and the inspection event itself, can be found...
Jouni Kokkoniemi
ECIS
2001
13 years 10 months ago
Knowledge, learning and IT support in a small software company
The literature in the field of knowledge management shows a certain preoccupation with information technology (IT) and technical solutions while it reflects a limited view of orga...
Karlheinz Kautz, Kim Thaysen