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UAI
2003
13 years 9 months ago
On Local Optima in Learning Bayesian Networks
This paper proposes and evaluates the k-greedy equivalence search algorithm (KES) for learning Bayesian networks (BNs) from complete data. The main characteristic of KES is that i...
Jens D. Nielsen, Tomás Kocka, José M...
TON
2010
126views more  TON 2010»
13 years 2 months ago
MAC Scheduling With Low Overheads by Learning Neighborhood Contention Patterns
Aggregate traffic loads and topology in multi-hop wireless networks may vary slowly, permitting MAC protocols to `learn' how to spatially coordinate and adapt contention patte...
Yung Yi, Gustavo de Veciana, Sanjay Shakkottai
TRIDENTCOM
2008
IEEE
14 years 2 months ago
Single versus multi-hop wireless reprogramming in sensor networks
— Wireless reprogramming of the sensor network is useful for uploading new code or for changing the functionality of the existing code. In recent years, the research focus has sh...
Rajesh Krishna Panta, Saurabh Bagchi, Issa Khalil,...
TSMC
2008
177views more  TSMC 2008»
13 years 6 months ago
Adaptive Critic Learning Techniques for Engine Torque and Air-Fuel Ratio Control
A new approach for engine calibration and control is proposed. In this paper, we present our research results on the implementation of adaptive critic designs for self-learning con...
Derong Liu, Hossein Javaherian, Olesia Kovalenko, ...
ACL
2007
13 years 9 months ago
Much ado about nothing: A social network model of Russian paradigmatic gaps
A number of Russian verbs lack 1sg nonpast forms. These paradigmatic gaps are puzzling because they seemingly contradict the highly productive nature of inflectional systems. We m...
Robert Daland, Andrea D. Sims, Janet Pierrehumbert