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» Learning to Predict Rare Events in Event Sequences
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ATAL
2008
Springer
13 years 9 months ago
Approximate predictive state representations
Predictive state representations (PSRs) are models that represent the state of a dynamical system as a set of predictions about future events. The existing work with PSRs focuses ...
Britton Wolfe, Michael R. James, Satinder P. Singh
BMCBI
2010
110views more  BMCBI 2010»
13 years 7 months ago
Discovering local patterns of co - evolution: computational aspects and biological examples
Background: Co-evolution is the process in which two (or more) sets of orthologs exhibit a similar or correlative pattern of evolution. Co-evolution is a powerful way to learn abo...
Tamir Tuller, Yifat Felder, Martin Kupiec
BMCBI
2005
78views more  BMCBI 2005»
13 years 7 months ago
PREP-Mt: predictive RNA editor for plant mitochondrial genes
Background: In plants, RNA editing is a process that converts specific cytidines to uridines and uridines to cytidines in transcripts from virtually all mitochondrial protein-codi...
Jeffrey P. Mower
AIIA
2009
Springer
14 years 2 months ago
Relational Temporal Data Mining for Wireless Sensor Networks
Wireless sensor networks (WSNs) represent a typical domain where there are complex temporal sequences of events. In this paper we propose a relational framework to model and analys...
Teresa Maria Altomare Basile, Nicola Di Mauro, Ste...
ICST
2010
IEEE
13 years 6 months ago
Fault Detection Likelihood of Test Sequence Length
— Testing of graphical user interfaces is important due to its potential to reveal faults in operation and performance of the system under consideration. Most existing test appro...
Fevzi Belli, Michael Linschulte, Christof J. Budni...