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CORR
2007
Springer
144views Education» more  CORR 2007»
13 years 7 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
JMLR
2008
230views more  JMLR 2008»
13 years 7 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...
JMLR
2008
151views more  JMLR 2008»
13 years 7 months ago
Learning to Combine Motor Primitives Via Greedy Additive Regression
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
Manu Chhabra, Robert A. Jacobs
JGS
2006
154views more  JGS 2006»
13 years 7 months ago
Area-to-point Kriging with inequality-type data
In practical applications of area-to-point spatial interpolation, inequality constraints, such as non-negativity, or more general constraints on the maximum and/or minimum allowab...
E.-H. Yoo, Phaedon C. Kyriakidis
JSC
2006
52views more  JSC 2006»
13 years 7 months ago
Markov bases of three-way tables are arbitrarily complicated
We show the following two universality statements on the entry-ranges and Markov bases of spaces of 3-way contingency tables with fixed 2-margins: (1) For any finite set D of nonn...
Jesús A. De Loera, Shmuel Onn
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