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IJCNN
2006
IEEE
14 years 2 months ago
Learning to Rank by Maximizing AUC with Linear Programming
— Area Under the ROC Curve (AUC) is often used to evaluate ranking performance in binary classification problems. Several researchers have approached AUC optimization by approxi...
Kaan Ataman, W. Nick Street, Yi Zhang
AAAI
2006
13 years 10 months ago
kFOIL: Learning Simple Relational Kernels
A novel and simple combination of inductive logic programming with kernel methods is presented. The kFOIL algorithm integrates the well-known inductive logic programming system FO...
Niels Landwehr, Andrea Passerini, Luc De Raedt, Pa...
EDM
2010
140views Data Mining» more  EDM 2010»
13 years 10 months ago
Assessing Reviewer's Performance Based on Mining Problem Localization in Peer-Review Data
Current peer-review software lacks intelligence for responding to students' reviewing performance. As an example of an additional intelligent assessment component to such soft...
Wenting Xiong, Diane J. Litman, Christian D. Schun...
ECCV
2000
Springer
14 years 10 months ago
Learning Similarity for Texture Image Retrieval
A novel algorithm is proposed to learn pattern similarities for texture image retrieval. Similar patterns in di erent texture classes are grouped into a cluster in the feature spac...
Guodong Guo, Stan Z. Li, Kap Luk Chan
ICDAR
2009
IEEE
14 years 3 months ago
Recognition of Degraded Handwritten Characters Using Local Features
The main problems of Optical Character Recognition (OCR) systems are solved if printed latin text is considered. Since OCR systems are based upon binary images, their results are ...
Markus Diem, Robert Sablatnig