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IJCAI
2003
13 years 9 months ago
When Discriminative Learning of Bayesian Network Parameters Is Easy
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
Hannes Wettig, Peter Grünwald, Teemu Roos, Pe...
ASPDAC
2005
ACM
140views Hardware» more  ASPDAC 2005»
14 years 1 months ago
A multi-level transmission line network approach for multi-giga hertz clock distribution
-In high performance systems, process variations and fluctuations of operating environments have significant impact on the clock skew. Recently, hybrid structures of H-tree and m...
Hongyu Chen, Chung-Kuan Cheng
GLOBECOM
2008
IEEE
13 years 8 months ago
A Cognitive Framework for Improving Coexistence Among Heterogeneous Wireless Networks
—The proliferation of wireless systems requires that the coexistence between heterogeneous technologies be addressed. This paper presents a cognitive framework in which sensingba...
Stefan Geirhofer, Lang Tong, Brian M. Sadler
ICC
2009
IEEE
136views Communications» more  ICC 2009»
13 years 5 months ago
Maximizing the Sum Rate in Symmetric Networks of Interfering Links
We consider the power optimization problem of maximizing the sum rate of a symmetric network of interfering links in Gaussian noise. All transmitters have an average transmit power...
Sibi Raj Bhaskaran, Stephen V. Hanly, Nasreen Badr...
NIPS
2007
13 years 9 months ago
Multi-Task Learning via Conic Programming
When we have several related tasks, solving them simultaneously is shown to be more effective than solving them individually. This approach is called multi-task learning (MTL) and...
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, ...