254 search results - page 37 / 51 » Multi-interval Discretization Methods for Decision Tree Lear... |
GCB
2003
Springer
14 years 2 months ago
2003
Springer
The further development of analytical techniques based on gas chromatography and mass spectrometry now facilitate the generation of larger sets of metabolite concentration data. T...
KDD
2006
ACM
14 years 9 months ago
2006
ACM
While most software defects (i.e., bugs) are corrected and tested as part of the lengthy software development cycle, enterprise software vendors often have to release software pro...
KDD
2010
ACM
14 years 21 days ago
2010
ACM
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
AUSAI
2006
Springer
14 years 16 days ago
2006
Springer
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
—Randomized learning methods (i.e., Forests or Ferns) have shown excellent capabilities for various computer vision applications. However, it was shown that the tree structure in...