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Structured regression has been successfully used in many applications where explanatory and response variables are inter-correlated, such as in weighted attributed networks. One of structured models, Gaussian Conditional Random Fields (GCRF), utilizing multiple unstructured models to learn the non-linear relationships between node attributes and the structured response variable, achieves high prediction...
The aim of this study was to compare quantitatively the difference in Surface Electromyography (sEMG) features between healthy subjects and low back pain (LBP) patients. We recruited thirty LBP patients and thirty healthy subjects. They performed maximum voluntary flexion (MVF), while sEMG data were collected from the multifidus, external oblique and transverse abdominal muscles. We used Integrated...
Traditional research into the arts has almost always been based around the subjective judgment of human critics. The use of data mining tools to understand art has great promise as it is objective and operational. We investigate the distribution of music from around the world: geographical ethnomusicology. We cast the problem as training a machine learning program to predict the geographical origin...
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