the archive
#feature engineering
3 resultsstat.ML2019
Anomaly Detection in High Dimensional Data
Priyanga Dilini Talagala, Rob J. Hyndman, Kate Smith-Miles
The paper introduces the stray algorithm, an unsupervised method for detecting anomalies in high‑dimensional data that uses extreme value theory for thresholding and improves on th…
#anomaly detection#high-dimensional data#unsupervised learning#extreme value theory
cond-mat.mtrl-sci2019
Machine Learning Models for the Lattice Thermal Conductivity Prediction of Inorganic Materials
Lihua Chen, Huan Tran, Rohit Batra +2
The paper presents a machine‑learning model, based on Gaussian process regression and advanced feature engineering, that can instantly predict the lattice thermal conductivity of i…
#lattice thermal conductivity#machine learning#materials screening#feature engineering
cs.DB2019
sql4ml A declarative end-to-end workflow for machine learning
Nantia Makrynioti, Ruy Ley-Wild, Vasilis Vassalos
The paper introduces sql4ml, a system that lets users write both feature engineering and supervised machine learning models in SQL, automatically translating them to TensorFlow for…
#sql#machine learning#feature engineering#tensorflow