Sentence examples for featured engineering from inspiring English sources

When the turnpike opened in 1951, it featured engineering firsts, including steel guardrails and wide medians and shoulders along the entire 148-mile length of the road to prevent crossover and run-off-the-road crashes, and 24-inch-tall numbers to mark approaching exits.

Future research should test multiple learners across multiple datasets using many different feature engineering methods.

In data mining prediction tasks feature engineering is the most important and most difficult skill.

Most common approaches feature engineering models in buildings, and statistical models in transports.

Driverless AI automates feature engineering, the process by which key variables are selected to build a model.

Future work should evaluate different feature engineering methods across multiple datasets to determine which types of features are most useful for online review spam detection.

Thus, feature engineering, which focuses on constructing features and data representations from raw data [1], is an important element of machine learning.

In addition to the four vs. there are lots of challenges including data cleansing, feature engineering [57 59], high-dimensionality, and data redundancy that Big Data analytics face.

However, as previously mentioned, without a large amount of preprocessing and feature engineering, algorithm-only feature selection would generate a lot of noise that may not coincide with known medical research.

These feature engineering methods are tested with a building energy consumption dataset with 124 features, which describe the building physics, weather condition, and occupant behavior.

Inspired by the great success of deep learning in automatic speech recognition, we propose a detailed deep learning based feature engineering framework for spoofing detection in this paper.