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120
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VTC
2007
IEEE
107views Communications» more  VTC 2007»
15 years 9 months ago
Random Switched Beamforming for Uplink Wireless Sensor Networks
– Integration of beamforming to sensors is very beneficial for a reduction of transmission power consumption and for improvement of the overall system performance. Unfortunately,...
Mohammed Elmusrati, Vesa Hasu
JMLR
2006
169views more  JMLR 2006»
15 years 3 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
BMCBI
2010
116views more  BMCBI 2010»
15 years 3 months ago
A hybrid approach to protein folding problem integrating constraint programming with local search
Background: The protein folding problem remains one of the most challenging open problems in computational biology. Simplified models in terms of lattice structure and energy func...
Abu Zafer M. Dayem Ullah, Kathleen Steinhöfel
ICALP
2009
Springer
16 years 3 months ago
Correlation Clustering Revisited: The "True" Cost of Error Minimization Problems
Correlation Clustering was defined by Bansal, Blum, and Chawla as the problem of clustering a set of elements based on a possibly inconsistent binary similarity function between e...
Nir Ailon, Edo Liberty
149
Voted
IJCAI
2007
15 years 4 months ago
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...