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CEAS
2005
Springer
14 years 1 months ago
Good Word Attacks on Statistical Spam Filters
Unsolicited commercial email is a significant problem for users and providers of email services. While statistical spam filters have proven useful, senders of spam are learning ...
Daniel Lowd, Christopher Meek
CVPR
2012
IEEE
11 years 10 months ago
Seeded watershed cut uncertainty estimators for guided interactive segmentation
Watershed cuts are among the fastest segmentation algorithms and therefore well suited for interactive segmentation of very large 3D data sets. To minimize the number of user inte...
Christoph N. Straehle, Ullrich Köthe, Graham ...
DIS
2009
Springer
14 years 2 months ago
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Yasser El-Manzalawy, Vasant Honavar
CORR
2010
Springer
169views Education» more  CORR 2010»
13 years 2 months ago
Recommender Systems by means of Information Retrieval
In this paper we present a method for reformulating the Recommender Systems problem in an Information Retrieval one. In our tests we have a dataset of users who give ratings for s...
Alberto Costa, Fabio Roda
ICDE
2008
IEEE
209views Database» more  ICDE 2008»
14 years 9 months ago
Distributed Monitoring of Peer-to-Peer Systems
In this paper, we are concerned with the distributed monitoring of P2P systems. We introduce the P2P Monitor system and a new declarative language, namely P2PML, for specifying mo...
Serge Abiteboul, Bogdan Marinoiu, Pierre Bourhis