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» Learning Rule Representations from Boolean Data
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ISDA
2010
IEEE
14 years 10 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
101
Voted
ICDM
2007
IEEE
135views Data Mining» more  ICDM 2007»
15 years 7 months ago
Private Inference Control for Aggregate Database Queries
Data security is a critical issue for many organizations. Sensitive data must be protected from both inside and outside attackers. Access control policies and related mechanisms h...
Geetha Jagannathan, Rebecca N. Wright
80
Voted
DIS
1999
Springer
15 years 5 months ago
Discovery of a Set of Nominally Conditioned Polynomials
: This paper shows that a connectionist law discovery method called RF5X can discover a law in the form of a set of nominally conditioned polynomials, from data containing both nom...
Ryohei Nakano, Kazumi Saito
ESANN
2006
15 years 2 months ago
Magnification control for batch neural gas
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...
Barbara Hammer, Alexander Hasenfuss, Thomas Villma...
110
Voted
COGSCI
2010
125views more  COGSCI 2010»
15 years 28 days ago
A Probabilistic Computational Model of Cross-Situational Word Learning
Words are the essence of communication: they are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisiti...
Afsaneh Fazly, Afra Alishahi, Suzanne Stevenson