Causality detection based on information-theoretic approaches in time series analysis
Synchronization, a basic nonlinear phenomenon, is widely observed in diverse complex
systems studied in physical, biological and other natural sciences, as well as in social …
systems studied in physical, biological and other natural sciences, as well as in social …
Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet
Arterial pulse waves (PWs) such as blood pressure and photoplethysmogram (PPG) signals
contain a wealth of information on the cardiovascular (CV) system that can be exploited to …
contain a wealth of information on the cardiovascular (CV) system that can be exploited to …
Mutual information neural estimation
We argue that the estimation of mutual information between high dimensional continuous
random variables can be achieved by gradient descent over neural networks. We present a …
random variables can be achieved by gradient descent over neural networks. We present a …
Mine: mutual information neural estimation
We argue that the estimation of mutual information between high dimensional continuous
random variables can be achieved by gradient descent over neural networks. We present a …
random variables can be achieved by gradient descent over neural networks. We present a …
Farewell to mutual information: Variational distillation for cross-modal person re-identification
Abstract The Information Bottleneck (IB) provides an information theoretic principle for
representation learning, by retaining all information relevant for predicting label while …
representation learning, by retaining all information relevant for predicting label while …
Mutual information based anomaly detection of monitoring data with attention mechanism and residual learning
Due to the damage of sensors or transmission equipment, abnormal monitoring data
inevitably exists in the measured raw data, and it significantly impacts the condition …
inevitably exists in the measured raw data, and it significantly impacts the condition …
Building an intrusion detection system using a filter-based feature selection algorithm
Redundant and irrelevant features in data have caused a long-term problem in network
traffic classification. These features not only slow down the process of classification but also …
traffic classification. These features not only slow down the process of classification but also …
Detecting novel associations in large data sets
Identifying interesting relationships between pairs of variables in large data sets is
increasingly important. Here, we present a measure of dependence for two-variable …
increasingly important. Here, we present a measure of dependence for two-variable …
Equitability, mutual information, and the maximal information coefficient
JB Kinney, GS Atwal - … of the National Academy of Sciences, 2014 - National Acad Sciences
How should one quantify the strength of association between two random variables without
bias for relationships of a specific form? Despite its conceptual simplicity, this notion of …
bias for relationships of a specific form? Despite its conceptual simplicity, this notion of …