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Empirical Evaluation of Four Tensor Decomposition Algorithms
tensors singular value decomposition Tucker decomposition tensor decomposition latent semantic analysis
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2015/7/29
Higher-order tensor decompositions are analogous to the familiar Singular Value Decomposition (SVD), but they transcend the limitations of matrices (second-order tensors). SVD is a powerful tool that ...
Empirical learning aided by weak domain knowledge in the form of feature importance
neural network domain knowledge prior knowledge feature importance
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2015/7/15
Standard hybrid learners that use domain knowledge require stronger knowledge that is hard and expensive to acquire. However, weaker domain knowledge can benefit from prior knowledge while being cost ...
An empirical approach to Lexical Tuning
An empirical Lexical Tuning
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2014/3/20
NLP systems crucially depend on the knowledge structures devoted to describing and representing word senses. Although automatic Word Sense Disambiguation (WSD) is now an established task within empiri...
Empirical determination of thresholds for optimal dialogue act classification
Empirical determination thresholds optimal dialogue act classification
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2014/3/20
We present recent experiments which build on our work in the area of Dialogue Act (da) tagging.Identifying the dialogue acts of utterances is recognised as an important step towards understanding the ...