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LREC
2010
213views Education» more  LREC 2010»
15 years 9 months ago
Active Learning and Crowd-Sourcing for Machine Translation
In recent years, corpus based approaches to machine translation have become predominant, with Statistical Machine Translation (SMT) being the most actively progressing area. Succe...
Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell
237
Voted
JMLR
2012
13 years 10 months ago
Deep Learning Made Easier by Linear Transformations in Perceptrons
We transform the outputs of each hidden neuron in a multi-layer perceptron network to have zero output and zero slope on average, and use separate shortcut connections to model th...
Tapani Raiko, Harri Valpola, Yann LeCun
216
Voted
JMLR
2012
13 years 10 months ago
Structured Output Learning with High Order Loss Functions
Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation ...
Daniel Tarlow, Richard S. Zemel
DATE
2007
IEEE
167views Hardware» more  DATE 2007»
16 years 1 months ago
A decomposition-based constraint optimization approach for statically scheduling task graphs with communication delays to multip
We present a decomposition strategy to speed up constraint optimization for a representative multiprocessor scheduling problem. In the manner of Benders decomposition, our techniq...
Nadathur Satish, Kaushik Ravindran, Kurt Keutzer
206
Voted
GECCO
2000
Springer
15 years 11 months ago
Modeling GA Performance for Control Parameter Optimization
Optimization of the control parameters of genetic algorithms is often a time consuming and tedious task. In this work we take the meta-level genetic algorithm approach to control ...
Vincent A. Cicirello, Stephen F. Smith