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ECAI
2006
Springer
13 years 11 months ago
Least Squares SVM for Least Squares TD Learning
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 ...
Tobias Jung, Daniel Polani
TCS
2010
13 years 6 months ago
Active learning in heteroscedastic noise
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...
András Antos, Varun Grover, Csaba Szepesv&a...
ICIAP
2007
ACM
14 years 7 months ago
Quality Assessment of Gaussian Blurred Images Using Symmetric Geometric Moments
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...
Chong-Yaw Wee, Paramesran Raveendran, R. Mukundan
ACL
1998
13 years 9 months ago
Automated Scoring Using A Hybrid Feature Identification Technique
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...
GFKL
2005
Springer
94views Data Mining» more  GFKL 2005»
14 years 1 months ago
Modeling Memory for Melodies
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...
Daniel Müllensiefen, Christian Hennig