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» Scalable, updatable predictive models for sequence data
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DSN
2008
IEEE
14 years 2 months ago
Hot-spot prediction and alleviation in distributed stream processing applications
Many emerging distributed applications require the realtime processing of large amounts of data that are being updated continuously. Distributed stream processing systems offer a ...
Thomas Repantis, Vana Kalogeraki
IDA
2003
Springer
14 years 28 days ago
Very Predictive Ngrams for Space-Limited Probabilistic Models
In sequential prediction tasks, one repeatedly tries to predict the next element in a sequence. A classical way to solve these problems is to fit an order-n Markov model to the da...
Paul R. Cohen, Charles A. Sutton
ICML
2005
IEEE
14 years 8 months ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty
NAR
2011
225views Computer Vision» more  NAR 2011»
12 years 10 months ago
Gramene database in 2010: updates and extensions
Now in its 10th year, the Gramene database (http:// www.gramene.org) has grown from its primary focus on rice, the first fully-sequenced grass genome, to become a resource for maj...
Ken Youens-Clark, Edward S. Buckler, Terry M. Cass...
BIBE
2007
IEEE
129views Bioinformatics» more  BIBE 2007»
13 years 11 months ago
Statistial Analysis of nucleosome occupancy and histone modification data
Abstract-- In eukaryotic cells, genomic DNAs wrap around beadlike molecules, called nucleosomes, so as to pack more compactly in the nucleus of the cell. The nucleosome is made up ...
Guo-Cheng Yuan, Jun S. Liu