1175 search results - page 53 / 235 » Experimental perspectives on learning from imbalanced data |
NIPS
2003
14 years 11 months ago
2003
We consider the general problem of learning from labeled and unlabeled data, which is often called semi-supervised learning or transductive inference. A principled approach to sem...
115
click to vote
IJCAI
1989
14 years 11 months ago
1989
A macro-operator is an integrated operator consisting of plural primitive operators and enables a problem solver to solve more efficiently. However, if a learning system generates...
MLDM
2009
Springer
15 years 2 months ago
2009
Springer
The induction of knowledge from a data set relies in the execution of multiple data mining actions: to apply filters to clean and select the data, to train different algorithms (...
UCS
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. This paper describes daily life activity recognition using wearable acceleration sensors attached to four different parts of the human body. The experimental data set con...
NIPS
2000
14 years 11 months ago
2000
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...