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» Results of the KDD'99 Classifier Learning
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ICCV
2009
IEEE
1019views Computer Vision» more  ICCV 2009»
15 years 3 months ago
Similarity Functions for Categorization: from Monolithic to Category Specific
Similarity metrics that are learned from labeled training data can be advantageous in terms of performance and/or efficiency. These learned metrics can then be used in conjuncti...
Boris Babenko, Steve Branson, Serge Belongie
OTM
2004
Springer
14 years 3 months ago
A Grid-Based Approach for Processing Group Activity Log Files
The information collected regarding group activity in a collaborative learning environment requires classifying, structuring and processing. The aim is to process this information ...
Fatos Xhafa, Santi Caballé, Thanasis Darado...
ICDM
2010
IEEE
160views Data Mining» more  ICDM 2010»
13 years 8 months ago
A Privacy Preserving Framework for Gaussian Mixture Models
Abstract--This paper presents a framework for privacypreserving Gaussian Mixture Model computations. Specifically, we consider a scenario where a central service wants to learn the...
Madhusudana Shashanka
ISDA
2010
IEEE
13 years 8 months ago
Comparing SVM ensembles for imbalanced datasets
Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...
Vasudha Bhatnagar, Manju Bhardwaj, Ashish Mahabal
AAAI
2008
14 years 14 days ago
An Effective and Robust Method for Short Text Classification
Classification of texts potentially containing a complex and specific terminology requires the use of learning methods that do not rely on extensive feature engineering. In this w...
Victoria Bobicev, Marina Sokolova