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SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
15 years 6 months ago
Adaptive Informative Sampling for Active Learning
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
Zhenyu Lu, Xindong Wu, Josh Bongard
ICML
2000
IEEE
16 years 5 months ago
Meta-Learning by Landmarking Various Learning Algorithms
Landmarking is a novel approach to describing tasks in meta-learning. Previous approaches to meta-learning mostly considered only statistics-inspired measures of the data as a sou...
Bernhard Pfahringer, Hilan Bensusan, Christophe G....
IEEEARES
2010
IEEE
15 years 9 months ago
Detection of Spyware by Mining Executable Files
Spyware represents a serious threat to confidentiality since it may result in loss of control over private data for computer users. This type of software might collect the data and...
Raja Khurram Shahzad, Syed Imran Haider, Niklas La...
TAL
2010
Springer
15 years 2 months ago
Summarization as Feature Selection for Document Categorization on Small Datasets
Abstract. Most common feature selection techniques for document categorization are supervised and require lots of training data in order to accurately capture the descriptive and d...
Emmanuel Anguiano-Hernández, Luis Villase&n...
ICCV
2007
IEEE
16 years 6 months ago
3D Variational Brain Tumor Segmentation using a High Dimensional Feature Set
Tumor segmentation from MRI data is an important but time consuming task performed manually by medical experts. Automating this process is challenging due to the high diversity in...
Albert Murtha, Dana Cobzas, Mark Schmidt, Martin J...