133 search results - page 22 / 27 » Predicting Future Decision Trees from Evolving Data |
MM
2000
ACM
13 years 11 months ago
2000
ACM
The rapid development of Internet has resulted in more and more multimedia in Web content. However, due to the limitation in the bandwidth and huge size of the multimedia data, us...
AAAI
2011
12 years 7 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...
PERCOM
2008
ACM
14 years 7 months ago
2008
ACM
In this paper, we describe an information agent, that resides on a mobile computer or personal digital assistant (PDA), that can autonomously acquire sensor readings from pervasiv...
ESANN
2006
13 years 8 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
IGARSS
2010
13 years 2 months ago
2010
This paper investigates the performance of machine learning methods for classifying rock types from hyperspectral data. The main objective is to test the impact on classification ...