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ESANN
2006
15 years 6 months ago
Using sampling methods to improve binding site predictions
Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. In previous work we combine random selection under-sampling with th...
Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhors...
FLAIRS
2003
15 years 6 months ago
Algorithms for Large Scale Markov Blanket Discovery
This paper presents a number of new algorithms for discovering the Markov Blanket of a target variable T from training data. The Markov Blanket can be used for variable selection ...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
NIPS
2004
15 years 6 months ago
Harmonising Chorales by Probabilistic Inference
We describe how we used a data set of chorale harmonisations composed by Johann Sebastian Bach to train Hidden Markov Models. Using a probabilistic framework allows us to create a...
Moray Allan, Christopher K. I. Williams
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NIPS
2003
15 years 6 months ago
Training a Quantum Neural Network
Most proposals for quantum neural networks have skipped over the problem of how to train the networks. The mechanics of quantum computing are different enough from classical compu...
Bob Ricks, Dan Ventura
COLING
2000
15 years 6 months ago
Improving SMT quality with morpho-syntactic analysis
In the framework of statistical machine translation (SMT), correspondences between the words in the source and the target language are learned from bilingual corpora on the basis ...
Sonja Nießen, Hermann Ney