1989 search results - page 109 / 398 » Learning to Select Useful Landmarks |
161
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COLING
2002
15 years 6 months ago
2002
We present a comparative evaluation of two data-driven models used in translation selection of English-Korean machine translation. Latent semantic analysis(LSA) and probabilistic ...
138
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INFORMATICASI
1998
15 years 6 months ago
1998
Decision table decomposition is a machine learning approach that decomposes a given decision table into an equivalent hierarchy of decision tables. The approach aims to discover d...
160
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DAC
2008
ACM
16 years 7 months ago
2008
ACM
Extensive software-based simulation continues to be the mainstream methodology for functional verification of designs. To optimize the use of limited simulation resources, coverag...
214
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ESANN
2006
15 years 7 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
168
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GECCO
2010
Springer
15 years 11 months ago
2010
Springer
Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...