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NC
1998
102views Neural Networks» more  NC 1998»
13 years 9 months ago
Outliers and Bayesian Inference
In this paper we report about an investigation in which we studied the properties of Bayes' inferred neural network classifiers in the context of outlier detection. The proble...
Peter Sykacek
ERCIMDL
2005
Springer
100views Education» more  ERCIMDL 2005»
14 years 1 months ago
Importance of HTML Structural Elements and Metadata in Automated Subject Classification
The aim of the study was to determine how significance indicators assigned to different Web page elements (internal metadata, title, headings, and main text) influence automated cl...
Koraljka Golub, Anders Ardö
CHI
2010
ACM
14 years 29 days ago
Steadied-bubbles: combining techniques to address pen-based pointing errors for younger and older adults
Tablet PCs are gaining popularity but many older adults still struggle with pointing, particularly with two error types: missing, landing and lifting outside the target bounds; an...
Karyn Moffatt, Joanna McGrenere
KDD
2004
ACM
163views Data Mining» more  KDD 2004»
14 years 8 months ago
Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods
We consider the problem of improving named entity recognition (NER) systems by using external dictionaries--more specifically, the problem of extending state-of-the-art NER system...
William W. Cohen, Sunita Sarawagi
ICML
2006
IEEE
14 years 8 months ago
Constructing informative priors using transfer learning
Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative pr...
Rajat Raina, Andrew Y. Ng, Daphne Koller