Results 11 to 20 of about 2,151,311 (285)
Feature Engineering with Regularity Structures [PDF]
Journal of Scientific Computing, 2021 AbstractWe investigate the use of models from the theory of regularity structures as features in machine learning tasks. A model is a polynomial function of a space–time signal designed to well-approximate solutions to partial differential equations (PDEs), even in low regularity regimes.
Chevyrev, Ilya +2 more
openaire +2 more sources
VEST: automatic feature engineering for forecasting [PDF]
Machine Learning, 2021 25 pages, R code ...
Vítor Cerqueira +2 more
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Comparative Study of Different Methods in Vibration-Based Terrain Classification for Wheeled Robots with Shock Absorbers [PDF]
, 2019 open access articleAutonomous robots that operate in the field can enhance their security and efficiency by accurate terrain classification, which can be realized by means of robot-terrain interaction-generated vibration signals.
Chang, Ji +5 more
core +1 more source
Taxonomy-aware feature engineering for microbiome classification
BMC Bioinformatics, 2018 Background What is a healthy microbiome? The pursuit of this and many related questions, especially in light of the recently recognized microbial component in a wide range of diseases has sparked a surge in metagenomic studies.
Mai Oudah, Andreas Henschel
doaj +1 more source
Investigation of Feature Engineering Methods for Domain-Knowledge-Assisted Bearing Fault Diagnosis
Entropy, 2023 The engineering challenge of rolling bearing condition monitoring has led to a large number of method developments over the past few years. Most commonly, vibration measurement data are used for fault diagnosis using machine learning algorithms.
Christoph Bienefeld +3 more
doaj +1 more source
Malware Detection Based on API Sequence Feature Engineering and Feature Learning [PDF]
Jisuanji kexueAPI sequence-based malware analysis methods can effectively capture the behavioral characteristics of programs during runtime.However,existing detection approaches typically focus solely on API names while neglecting parameters and return values,or fail ...
YANG Yizhe, LU Tianliang, PENG Shufan, LI Xiaolin
doaj +1 more source
BioMedical Engineering OnLine, 2023 Background This study aimed to develop a pipeline for selecting the best feature engineering-based radiomic path to predict epidermal growth factor receptor (EGFR) mutant lung adenocarcinoma in 18F-fluorodeoxyglucose (FDG) positron emission tomography ...
Zefeng Liu +5 more
doaj +1 more source
A conceptual basis for feature engineering
Journal of Systems and Software, 1999 Abstract The gulf between the user and the developer perspectives lead to difficulties in producing successful software systems. Users are focused on the problem domain, where the system's features are the primary concern. Developers are focused on the solution domain, where the system's life-cycle artifacts are key.
C. R. TURNER +3 more
openaire +3 more sources
ServeNet: A Deep Neural Network for Web Services Classification
, 2020 Automated service classification plays a crucial role in service discovery, selection, and composition. Machine learning has been widely used for service classification in recent years.
Grolinger, Katarina +6 more
core +1 more source
Learning Feature Engineering for Classification [PDF]
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017 Feature engineering is the task of improving predictive modelling performance on a dataset by transforming its feature space. Existing approaches to automate this process rely on either transformed feature space exploration through evaluation-guided search, or explicit expansion of datasets with all transformed features followed by feature selection ...
Fatemeh Nargesian +4 more
openaire +1 more source