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Feature Engineering

2023
Wang He, Peng Liu, Qian Qian
openaire   +2 more sources

Feature Engineering

2020
Sorin Soviany, Cristina Soviany
openaire   +2 more sources

Feature Engineering and Selection

2017
Building 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
openaire   +1 more source

Learning Text-image Joint Embedding for Efficient Cross-modal Retrieval with Deep Feature Engineering

ACM Transactions on Information Systems, 2022
Zhongwei Xie, Ling Liu, Yanzhao Wu
exaly  

Lexicography as Feature Engineering

2017
Many 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.
openaire   +1 more source

A neuralized feature engineering method for entity relation extraction

Neural Networks, 2021
Yanping Chen, Weizhe Yang, Kai Wang
exaly  

Feature Engineering for Profiling

2019
Humans 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 ...
openaire   +1 more source

Software engineering: risk features in requirement engineering

Cluster Computing, 2018
Shankar Nayak Bhukya, Suresh Pabboju
openaire   +1 more source

Feature Engineering

2016
Karthik Ramasubramanian, Abhishek Singh
openaire   +1 more source

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