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UAI
2003
15 years 5 months ago
Optimal Limited Contingency Planning
For a given problem, the optimal Markov policy over a finite horizon is a conditional plan containing a potentially large number of branches. However, there are applications wher...
Nicolas Meuleau, David E. Smith
DEXA
2009
Springer
166views Database» more  DEXA 2009»
15 years 10 months ago
Tags4Tags: Using Tagging to Consolidate Tags
Tagging has become increasingly popular and useful across various social networks and applications. It allows users to classify and organize resources for improving the retrieval p...
Leyla Jael García-Castro, Martin Hepp, Alex...
KDD
2009
ACM
224views Data Mining» more  KDD 2009»
15 years 8 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
CORR
2006
Springer
153views Education» more  CORR 2006»
15 years 3 months ago
Genetic Programming, Validation Sets, and Parsimony Pressure
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
Christian Gagné, Marc Schoenauer, Marc Pari...
MR
2007
157views Robotics» more  MR 2007»
15 years 3 months ago
Electronic prognostics - A case study using global positioning system (GPS)
– Prognostic health management (PHM) of electronic systems presents challenges traditionally viewed as either insurmountable or otherwise not worth the cost of pursuit. Recent ch...
Douglas W. Brown, Patrick W. Kalgren, Carl S. Byin...