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JCB
2008
159views more  JCB 2008»
14 years 9 months ago
BayesMD: Flexible Biological Modeling for Motif Discovery
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Man-Hung Eric Tang, Anders Krogh, Ole Winther
JCST
2008
140views more  JCST 2008»
14 years 9 months ago
ROPAS: Cross-Layer Cognitive Architecture for Mobile UWB Networks
The allocation of bandwidth to unlicensed users, without significantly increasing the interference on the existing licensed users, is a challenge for Ultra Wideband (UWB) networks....
Chittabrata Ghosh, Bin Xie, Dharma P. Agrawal
82
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CORR
2007
Springer
144views Education» more  CORR 2007»
14 years 9 months ago
Optimization of Information Rate Upper and Lower Bounds for Channels with Memory
—We consider the problem of minimizing upper bounds and maximizing lower bounds on information rates of stationary and ergodic discrete-time channels with memory. The channels we...
Parastoo Sadeghi, Pascal O. Vontobel, Ramtin Shams
CPHYSICS
2007
71views more  CPHYSICS 2007»
14 years 9 months ago
Simulation of n-qubit quantum systems. III. Quantum operations
During the last decade, several quantum information protocols, such as quantum key distribution, teleportation or quantum computation, have attracted a lot of interest. Despite th...
T. Radtke, S. Fritzsche
JMLR
2008
230views more  JMLR 2008»
14 years 9 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
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