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PKDD
2010
Springer
183views Data Mining» more  PKDD 2010»
14 years 10 months ago
Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
Zhao Xu, Kristian Kersting, Thorsten Joachims
DICTA
2009
15 years 24 days ago
Multivariate Skew t Mixture Models: Applications to Fluorescence-Activated Cell Sorting Data
In many applied problems in the context of pattern recognition, the data often involve highly asymmetric observations. Normal mixture models tend to overfit when additional compone...
Kui Wang, Shu-Kay Ng, Geoffrey J. McLachlan
BMCBI
2004
93views more  BMCBI 2004»
14 years 11 months ago
Predicting binding sites of hydrolase-inhibitor complexes by combining several methods
Background: Protein-protein interactions play a critical role in protein function. Completion of many genomes is being followed rapidly by major efforts to identify interacting pr...
Taner Z. Sen, Andrzej Kloczkowski, Robert L. Jerni...
IJDE
2007
105views more  IJDE 2007»
14 years 11 months ago
Rigorous Development of Automated Inconsistency Checks for Digital Evidence Using the B Method
Inconsistencies in various data structures, such as missing log records and modified operating system files, have long been used by intrusion investigators and forensic analysts a...
Pavel Gladyshev, Andreas Enbacka
CVPR
2005
IEEE
16 years 1 months ago
Optimal Sub-Shape Models by Minimum Description Length
Active shape models are a powerful and widely used tool to interpret complex image data. By building models of shape variation they enable search algorithms to use a priori knowle...
Georg Langs, Philipp Peloschek, Horst Bischof