Что (кто) такое feature extraction - определение
Feature extraction
In machine learning, pattern recognition, and image processing, feature extraction starts from an initial set of measured data and builds derived values (features) intended to be informative and non-redundant, facilitating the subsequent learning and generalization steps, and in some cases leading to better human interpretations. Feature extraction is related to dimensionality reduction.
Relationship extraction
TYPE OF TEXT MINING
Relationship Extraction; Relation extraction
A relationship extraction task requires the detection and classification of semantic relationship mentions within a set of artifacts, typically from text or XML documents. The task is very similar to that of information extraction (IE), but IE additionally requires the removal of repeated relations (disambiguation) and generally refers to the extraction of many different relationships.
Terminology extraction
AN AUTOMATIC METHOD OF ANALYSING TEXT IN ORDER TO IDENTIFY PHRASES WHICH FULFIL THE CRITERIA FOR TERMS
Term extraction; Term recognition
Terminology extraction (also known as term extraction, glossary extraction, term recognition, or terminology mining) is a subtask of information extraction. The goal of terminology extraction is to automatically extract relevant terms from a given corpus.
Примеры произношения для feature extraction
1. Interpreting the ECG signal is called feature extraction.
Systems Health Technology at NASA Ames Research Center _ Kai Goebel _ Talks at Google
