Classifying diverse physical activities using “Smart Garments”
MI Mokhlespour Esfahani, MA Nussbaum - Sensors, 2019 - mdpi.com
Physical activities can have important impacts on human health. For example, a physically
active lifestyle, which is one of the most important goals for overall health promotion, can …
active lifestyle, which is one of the most important goals for overall health promotion, can …
A practical sensor-based methodology for the quantitative assessment and classification of chronic non specific low back patients (NSLBP) in clinical settings
The successful clinical application of patient-specific personalized medicine for the
management of low back patients remains elusive. This study aimed to classify chronic …
management of low back patients remains elusive. This study aimed to classify chronic …
Convergence rates for empirical estimation of binary classification bounds
Bounding the best achievable error probability for binary classification problems is relevant
to many applications including machine learning, signal processing, and information theory …
to many applications including machine learning, signal processing, and information theory …
[PDF][PDF] Estimation of Information Measures and Its Applications in Machine Learning.
MN Iranzad - 2019 - eecs.umich.edu
Estimation of Information Measures and its Applications in Machine Learning Page 1 Estimation
of Information Measures and its Applications in Machine Learning by Mortaza Noushad …
of Information Measures and its Applications in Machine Learning by Mortaza Noushad …
AEC Classifier: A Tree-Based Classifier with Error Control for Medical Disease Diagnosis and Other Applications
W Bokhari, A Bansal - International Journal of Semantic Computing, 2021 - World Scientific
In medical disease diagnosis, the cost of a false negative could greatly outweigh the cost of
a false positive. This is because the former could cost a life, whereas the latter may only …
a false positive. This is because the former could cost a life, whereas the latter may only …
Estimation of Information Measures and Its Applications in Machine Learning
M Noushad Iranzad - 2019 - deepblue.lib.umich.edu
Information-theoretic measures such as Shannon entropy, mutual information, and the
Kullback-Leibler (KL) divergence have a broad range of applications in information and …
Kullback-Leibler (KL) divergence have a broad range of applications in information and …