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Feature Engineering and Selection
2017Building Machine Learning systems and pipelines take significant effort, which is evident from the knowledge you gained in the previous chapters. In the first chapter, we presented some high-level architecture for building Machine Learning pipelines. The path from data to insights and information is not an easy and direct one.
Dipanjan Sarkar +2 more
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Lexicography as Feature Engineering
2017Many different techniques can group synonymous words together, but it is much harder to untangle the nuance and emphasis borne by individual members of a synonym set. The distributional hypothesis holds that you may understand a word by the contexts in which it appears.
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A neuralized feature engineering method for entity relation extraction
Neural Networks, 2021Yanping Chen, Weizhe Yang, Kai Wang
exaly
Feature Engineering for Profiling
2019Humans are able to perceive many profile parameters from voice. Such perceptual relationships between voice and parameters show that there is information relevant to profiling in the voice signal, but may not tell us what that information is. If a study finds perceptual relations between some parameter and specific features derived from voice, then ...
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Software engineering: risk features in requirement engineering
Cluster Computing, 2018Shankar Nayak Bhukya, Suresh Pabboju
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