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TCS
2011
13 years 5 months ago
Smart PAC-learners
The PAC-learning model is distribution-independent in the sense that the learner must reach a learning goal with a limited number of labeled random examples without any prior know...
Malte Darnstädt, Hans-Ulrich Simon
TSE
2010
102views more  TSE 2010»
13 years 4 months ago
Understanding Exception Handling: Viewpoints of Novices and Experts
Several recent studies indicate that many industrial applications exhibit poor quality in the design of exception-handling. To improve the quality of error-handling, we need to und...
Hina Shah, Carsten Görg, Mary Jean Harrold
ICDE
2012
IEEE
208views Database» more  ICDE 2012»
12 years 16 days ago
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data
—Traditional clustering algorithms identify just a single clustering of the data. Today’s complex data, however, allow multiple interpretations leading to several valid groupin...
Emmanuel Müller, Stephan Günnemann, Ines...
CVPR
2012
IEEE
12 years 16 days ago
Large scale metric learning from equivalence constraints
In this paper, we raise important issues on scalability and the required degree of supervision of existing Mahalanobis metric learning methods. Often rather tedious optimization p...
Martin Köstinger, Martin Hirzer, Paul Wohlhar...
ICDE
2004
IEEE
137views Database» more  ICDE 2004»
14 years 11 months ago
Selectivity Estimation for XML Twigs
Twig queries represent the building blocks of declarative query languages over XML data. A twig query describes a complex traversal of the document graph and generates a set of el...
Neoklis Polyzotis, Minos N. Garofalakis, Yannis E....