We present a new machine learning approach for 3D-QSAR, the task of predicting binding affinities of molecules to target proteins based on 3D structure. Our approach predicts bind...
The problem of finding the most appropriate subset of features or regressors is the generic challenge of Machine Learning problems like regression estimation or pattern recognitio...
The evolution of SAT technology over the last decade has motivated its application in model checking, initially through the utilization of SAT in bounded model checking (BMC) and, ...
Typical music emotion classification (MEC) approaches categorize emotions and apply pattern recognition methods to train a classifier. However, categorized emotions are too ambigu...
Yi-Hsuan Yang, Yu-Ching Lin, Ya-Fan Su, Homer H. C...