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» ELEM2: A Learning System for More Accurate Classifications
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KDD
2005
ACM
109views Data Mining» more  KDD 2005»
15 years 12 months ago
A new scheme on privacy-preserving data classification
We address privacy-preserving classification problem in a distributed system. Randomization has been the approach proposed to preserve privacy in such scenario. However, this appr...
Nan Zhang 0004, Shengquan Wang, Wei Zhao
ICCV
2009
IEEE
14 years 9 months ago
Incremental Multiple Kernel Learning for object recognition
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezi...
IEEECIT
2007
IEEE
15 years 5 months ago
Ensembles of Region Based Classifiers
In machine learning, ensemble classifiers have been introduced for more accurate pattern classification than single classifiers. We propose a new ensemble learning method that emp...
Sungha Choi, Byungwoo Lee, Jihoon Yang
ICML
2009
IEEE
16 years 11 days ago
Identifying suspicious URLs: an application of large-scale online learning
This paper explores online learning approaches for detecting malicious Web sites (those involved in criminal scams) using lexical and host-based features of the associated URLs. W...
Justin Ma, Lawrence K. Saul, Stefan Savage, Geoffr...
USS
2008
15 years 1 months ago
Measurement and Classification of Humans and Bots in Internet Chat
The abuse of chat services by automated programs, known as chat bots, poses a serious threat to Internet users. Chat bots target popular chat networks to distribute spam and malwa...
Steven Gianvecchio, Mengjun Xie, Zhengyu Wu, Haini...