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» Exploiting N-Gram Analysis to Predict Operator Sequences
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AIPS
2009
14 years 11 months ago
Exploiting N-Gram Analysis to Predict Operator Sequences
N-gram analysis provides a means of probabilistically predicting the next item in a sequence. Due originally to Shannon, it has proven an effective technique for word prediction i...
Christian J. Muise, Sheila A. McIlraith, Jorge A. ...
EXPCS
2007
15 years 1 months ago
Analysis of input-dependent program behavior using active profiling
Utility programs, which perform similar and largely independent operations on a sequence of inputs, include such common applications as compilers, interpreters, and document parse...
Xipeng Shen, Michael L. Scott, Chengliang Zhang, S...
ATAL
2005
Springer
15 years 3 months ago
Rapid on-line temporal sequence prediction by an adaptive agent
Robust sequence prediction is an essential component of an intelligent agent acting in a dynamic world. We consider the case of near-future event prediction by an online learning ...
Steven Jensen, Daniel Boley, Maria L. Gini, Paul R...
BIBM
2008
IEEE
142views Bioinformatics» more  BIBM 2008»
15 years 4 months ago
Using Global Sequence Similarity to Enhance Biological Sequence Labeling
Identifying functionally important sites from biological sequences, formulated as a biological sequence labeling problem, has broad applications ranging from rational drug design ...
Cornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasa...
TIT
2011
140views more  TIT 2011»
14 years 4 months ago
Sequential Quantile Prediction of Time Series
Motivated by a broad range of potential applications, we address the quantile prediction problem of real-valued time series. We present a sequential quantile forecasting model bas...
Gérard Biau, Benoît Patra