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» Predicting When Not to Predict
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112
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ISMB
2000
15 years 2 months ago
A Probabilistic Learning Approach to Whole-Genome Operon Prediction
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
Mark Craven, David Page, Jude W. Shavlik, Joseph B...
110
Voted
ISMB
1997
15 years 2 months ago
Functional Prediction of B. subtilis Genes from Their Regulatory Sequences
In bacterial cells, gene expression is regulated by multiple sigma factors, each of which has its promoter specificity, according to their conditions. Thus, if we can discriminate...
Tetsushi Yada, Yasushi Totoki, Takahiro Ishii, Ken...
126
Voted
AAAI
1994
15 years 2 months ago
Automated Modeling for Answering Prediction Questions: Selecting the Time Scale and System Boundary
The ability to answer prediction questions is crucial to reasoning about physical systems. A prediction question poses a hypothetical scenario and asks for the resulting behavior ...
Jeff Rickel, Bruce W. Porter
60
Voted
AIPS
2009
15 years 1 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. ...
94
Voted
AUTOMATICA
2007
80views more  AUTOMATICA 2007»
15 years 25 days ago
Fast, large-scale model predictive control by partial enumeration
Partial enumeration (PE) is presented as a method for treating large, linear model predictive control applications that are out of reach with available MPC methods. PE uses both a...
Gabriele Pannocchia, James B. Rawlings, Stephen J....