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CIKM
2009
Springer
14 years 5 hour ago
Probabilistic skyline queries
The ability to deal with uncertain information is becoming increasingly important for modern database applications. Whereas a conventional (certain) object is usually represented ...
Christian Böhm, Frank Fiedler, Annahita Oswal...
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
14 years 7 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
CP
2006
Springer
13 years 11 months ago
Differentiable Invariants
Abstract. Invariants that incrementally maintain the value of expresder assignments to their variables are a natural abstraction to build high-level local search algorithms. But th...
Pascal Van Hentenryck, Laurent Michel
IPM
2007
95views more  IPM 2007»
13 years 7 months ago
Using structural contexts to compress semistructured text collections
We describe a compression model for semistructured documents, called Structural Contexts Model (SCM), which takes advantage of the context information usually implicit in the stru...
Joaquín Adiego, Gonzalo Navarro, Pablo de l...
ICML
2004
IEEE
14 years 8 months ago
Training conditional random fields via gradient tree boosting
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
Thomas G. Dietterich, Adam Ashenfelter, Yaroslav B...