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» Iterated importance sampling in missing data problems
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AAAI
2007
15 years 1 months ago
Predictive Exploration for Autonomous Science
Often remote investigations use autonomous agents to observe an environment on behalf of absent scientists. Predictive exploration improves these systems’ efficiency with onboa...
David R. Thompson
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
15 years 11 months ago
Learning optimal ranking with tensor factorization for tag recommendation
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
Steffen Rendle, Leandro Balby Marinho, Alexandros ...
BMCBI
2008
218views more  BMCBI 2008»
14 years 11 months ago
LOSITAN: A workbench to detect molecular adaptation based on a Fst-outlier method
Background: Testing for selection is becoming one of the most important steps in the analysis of multilocus population genetics data sets. Existing applications are difficult to u...
Tiago Antao, Ana Lopes, Ricardo J. Lopes, Albano B...
WSC
2004
15 years 8 days ago
Automation of Human Decision Processes for Route Completion for Airspace Design Analysis
This paper describes an algorithm for approximating missing data in air traffic routes thereby allowing the lengths of different routes to be compared for our simulation analyses....
Lisa A. Schaefer
93
Voted
PAKDD
2009
ACM
126views Data Mining» more  PAKDD 2009»
15 years 5 months ago
Tree-Based Method for Classifying Websites Using Extended Hidden Markov Models
One important problem proposed recently in the field of web mining is website classification problem. The complexity together with the necessity to have accurate and fast algorit...
Majid Yazdani, Milad Eftekhar, Hassan Abolhassani