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» Structural Risk Minimization Over Data-Dependent Hierarchies
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COLT
2003
Springer
13 years 10 months ago
Maximum Margin Algorithms with Boolean Kernels
Recent work has introduced Boolean kernels with which one can learn linear threshold functions over a feature space containing all conjunctions of length up to k (for any 1 ≤ k ...
Roni Khardon, Rocco A. Servedio
SIGIR
2010
ACM
13 years 9 months ago
Prototype hierarchy based clustering for the categorization and navigation of web collections
This paper presents a novel prototype hierarchy based clustering (PHC) framework for the organization of web collections. It solves simultaneously the problem of categorizing web ...
Zhaoyan Ming, Kai Wang, Tat-Seng Chua
ACL
2006
13 years 6 months ago
Minimum Risk Annealing for Training Log-Linear Models
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
David A. Smith, Jason Eisner
SIGMOD
2008
ACM
113views Database» more  SIGMOD 2008»
13 years 5 months ago
Supporting OLAP operations over imperfectly integrated taxonomies
OLAP is an important tool in decision support. With the help of domain knowledge, such as hierarchies of attribute values, OLAP helps the user observe the effects of various decis...
Yan Qi 0002, K. Selçuk Candan, Jun'ichi Tat...
ICDE
2008
IEEE
155views Database» more  ICDE 2008»
14 years 6 months ago
Lattice Histograms: a Resilient Synopsis Structure
Despite the surge of interest in data reduction techniques over the past years, no method has been proposed to date that can always achieve approximation quality preferable to that...
Panagiotis Karras, Nikos Mamoulis