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GIS
1992
ACM
15 years 3 months ago
Machine Induction of Geospatial Knowledge
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
Peter A. Whigham, Robert I. McKay, J. R. Davis
ICML
1999
IEEE
16 years 19 days ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox
FLAIRS
2003
15 years 1 months ago
Optimizing F-Measure with Support Vector Machines
Support vector machines (SVMs) are regularly used for classification of unbalanced data by weighting more heavily the error contribution from the rare class. This heuristic techn...
David R. Musicant, Vipin Kumar, Aysel Ozgur
ICMLA
2008
15 years 1 months ago
Target Selection: A New Learning Paradigm and Its Application to Genetic Association Studies
In this work, a new learning paradigm called target selection is proposed, which can be used to test for associations between a single genetic variable and a multidimensional, qua...
Johannes Mohr, Sambu Seo, Imke Puis, Andreas Heinz...
IJMSO
2007
76views more  IJMSO 2007»
14 years 11 months ago
Towards an automatic monitoring for higher education Learning Design
: The development of new Information Technologies have originated new possibilities to develop pedagogical methodologies that provide the necessary knowledge and skills in the High...
David Camacho, María Dolores Rodrígu...