Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
We consider the problem of actively learning the mean values of distributions associated with a finite number of options. The decision maker can select which option to generate t...
A novel objective full-reference image quality assessment metric based on symmetric geometric moments (SGM) is proposed. SGM is used to represent the structural information in the...
This study exploits statistical redundancy inherent in natural language to automatically predict scores for essays. We use a hybrid feature identification method, including syntac...
Jill Burstein, Karen Kukich, Susanne Wolff, Chi Lu...
The aim of the presented study was to find structural descriptions of melodies that influence recognition memory for melodies. 24 melodies were played twice to 42 test persons. I...