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83
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KDD
2007
ACM
156views Data Mining» more  KDD 2007»
16 years 1 months ago
Estimating rates of rare events at multiple resolutions
We consider the problem of estimating occurrence rates of rare events for extremely sparse data, using pre-existing hierarchies to perform inference at multiple resolutions. In pa...
Deepak Agarwal, Andrei Z. Broder, Deepayan Chakrab...
99
Voted
DIS
2009
Springer
15 years 7 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
IPSN
2007
Springer
15 years 7 months ago
Tracking multiple targets using binary proximity sensors
Recent work has shown that, despite the minimal information provided by a binary proximity sensor, a network of such sensors can provide remarkably good target tracking performanc...
Jaspreet Singh, Upamanyu Madhow, Rajesh Kumar 0003...
SIGCOMM
2006
ACM
15 years 6 months ago
Algorithms to accelerate multiple regular expressions matching for deep packet inspection
There is a growing demand for network devices capable of examining the content of data packets in order to improve network security and provide application-specific services. Most...
Sailesh Kumar, Sarang Dharmapurikar, Fang Yu, Patr...
ALMOB
2008
81views more  ALMOB 2008»
15 years 27 days ago
Stability of multiple alignments and phylogenetic trees: an analysis of ABC-transporter proteins family
Background: Sequence-based phylogeny reconstruction is a fundamental task in Bioinformatics. Practically all methods for phylogeny reconstruction are based on multiple alignments....
Holger Wagner, Burkhard Morgenstern, Andreas W. M....