296 search results - page 20 / 60 » How to process uncertainty in machine learning |
ML
2002
ACM
13 years 8 months ago
2002
ACM
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
We propose a formulation of the Decision Tree learning algorithm in the Compression settings and derive tight generalization error bounds. In particular, we propose Sample Compres...
ICALT
2005
IEEE
14 years 2 months ago
2005
IEEE
The purpose of this study is to consider how to use an electronic learning (e-learning) system in engineering design. The first e-learning trial in an engineering design course wa...
JMLR
2008
13 years 8 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
ECTEL
2008
Springer
13 years 10 months ago
2008
Springer
The main purpose behind the design of this experience is the idea of obtaining useful information to know how the online courses in our University have been developed, and trying t...