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» Hierarchical Mixture Models for Nested Data Structures
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ICML
2006
IEEE
14 years 9 months ago
Nonstationary kernel combination
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
Darrin P. Lewis, Tony Jebara, William Stafford Nob...
ACL
2011
13 years 3 days ago
Domain Adaptation by Constraining Inter-Domain Variability of Latent Feature Representation
We consider a semi-supervised setting for domain adaptation where only unlabeled data is available for the target domain. One way to tackle this problem is to train a generative m...
Ivan Titov
CIBCB
2007
IEEE
14 years 2 months ago
Spectral Decomposition of Signaling Networks
—Many dynamical processes can be represented as directed attributed graphs or Petri nets where relationships between various entities are explicitly expressed. Signaling networks...
Bahram Parvin, Nirmalya Ghosh, Laura Heiser, Merri...
WWW
2008
ACM
14 years 9 months ago
Utility-driven load shedding for xml stream processing
Because of the high volume and unpredictable arrival rate, stream processing systems may not always be able to keep up with the input data streams-- resulting in buffer overflow a...
Mingzhu Wei, Elke A. Rundensteiner, Murali Mani
BPM
2009
Springer
175views Business» more  BPM 2009»
14 years 3 months ago
Understanding Spaghetti Models with Sequence Clustering for ProM
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
Gabriel M. Veiga, Diogo R. Ferreira