在 英语 中使用 Anomaly detection 的示例及其翻译为 中文
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AI's anomaly detection and pattern recognition features can help a system learn from the unstructured data collected by financial institutions.
The data they do use mostly concern anomaly detection and control- not optimization and prediction, which would offer the greatest value.
NXP's cost-effective anomaly detection solution is designed with a robust set of sensors and high-performance i.
At Statsbot, we have a tendency to apply neural networks for time-series predictions, anomaly detection in information, and language understanding.
For example, at Statsbot we apply neural networks for time series predictions, anomaly detection in data, and natural language understanding….
The aim of this survey is two-fold, firstly we present a structured and comprehensive overview of research methods in deep learning-based anomaly detection.
The platform thus can support a wide range of applications, such as natural language processing, image and video understanding, and anomaly detection in transaction data.
Semi-supervised anomaly detection techniques construct a model representing normal behavior from a given normal training data set, and then test the likelihood of a test instance to be generated by the learnt model.
The firm's cybersecurity solution, based on Apache Spot, enables anomaly detection, behavior analytics, and comprehensive access across all enterprise data using an open, scalable platform.
Anomaly detection.
Does Your WAF perform Behavioral Anomaly Detection?
Anomaly detection tools usually require a training phase.
Three broad categories of anomaly detection techniques exist.
This is a common problem with anomaly detection systems.
Create automated anomaly detection systems and constantly track their performance.
Create automated anomaly detection systems and constant tracking of its performance.
Contextual information improves the quality of behavioral analysis and anomaly detection.
Anomaly detection informs how we find new risk and new opportunity.
The visibility and insight this provides will allow for early anomaly detection.
Machine learning involves anomaly detection, clustering, deep learning, and linear regression.