75 search results - page 5 / 15 » Model Selection in Omnivariate Decision Trees |
71
Voted
INTERSPEECH
2010
14 years 4 months ago
2010
The autoregressive HMM has been shown to provide efficient parameter estimation and high-quality synthesis, but in previous experiments decision trees derived from a non-autoregre...
CSDA
2008
14 years 9 months ago
2008
ABSTRACT. This paper introduces a tree-based model that combines aspects of CART (Classification and Regression Trees) and STR (Smooth Transition Regression). The model is called t...
90
Voted
ROCAI
2004
Springer
15 years 2 months ago
2004
Springer
We present an empirical comparison of the AUC performance of seven supervised learning methods: SVMs, neural nets, decision trees, k-nearest neighbor, bagged trees, boosted trees,...
80
Voted
ATAL
2010
Springer
14 years 10 months ago
2010
Springer
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. In particular, the so-calle...
65
Voted
CCE
2005
14 years 9 months ago
2005
Microarray experiments are emerging as one of the main driving forces in modern biology. By allowing the simultaneous monitoring of the expression of the entire genome for a given...