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BIBE
2006
IEEE
135views Bioinformatics» more  BIBE 2006»
14 years 2 months ago
Evidence of Multiple Maximum Likelihood Points for a Phylogenetic Tree
An interesting and important, but largely ignored question associated with the ML method is whether there exists only a single maximum likelihood point for a given phylogenetic tr...
Bing Bing Zhou, Monther Tarawneh, Pinghao Wang, Da...
ICML
2009
IEEE
14 years 9 months ago
Proximal regularization for online and batch learning
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo
ICUMT
2009
13 years 6 months ago
Large system analysis of beamforming for MIMO systems with limited training
We consider multiple-input multiple-output (MIMO) systems exploiting the full diversity order of a MIMO fading channel via optimal beamforming and combining. Specifically, an analy...
Francisco Rubio, Dongning Guo, Michael L. Honig, X...
INFOCOM
2009
IEEE
14 years 3 months ago
Duty-Cycle-Aware Broadcast in Wireless Sensor Networks
—Broadcast is one of the most fundamental services in wireless sensor networks (WSNs). It facilitates sensor nodes to propagate messages across the whole network, serving a wide ...
Feng Wang, Jiangchuan Liu
CORR
2006
Springer
152views Education» more  CORR 2006»
13 years 8 months ago
On Reduced Complexity Soft-Output MIMO ML detection
In multiple-input multiple-output (MIMO) fading channels maximum likelihood (ML) detection is desirable to achieve high performance, but its complexity grows exponentially with th...
Massimiliano Siti, Michael P. Fitz