AAAI
2011
12 years 12 months ago
2011
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
In a large-scale language detection task, performance variation found between different component systems and different target languages has an adverse effect to the pooled error ...
NAACL
2010
13 years 9 months ago
2010
We show how features can easily be added to standard generative models for unsupervised learning, without requiring complex new training methods. In particular, each component mul...
ECML
2003
Springer
14 years 5 months ago
2003
Springer
Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...
PKDD
2005
Springer
14 years 5 months ago
2005
Springer
Logistic Model Trees have been shown to be very accurate and compact classifiers [8]. Their greatest disadvantage is the computational complexity of inducing the logistic regressi...
KDD
2001
ACM
15 years 7 days ago
2001
ACM
Predictive models developed by applying Data Mining techniques are used to improve forecasting accuracy in the airline business. In order to maximize the revenue on a flight, the ...