206 search results - page 39 / 42 » Predicting incomplete gene microarray data with the use of s... |
ECML
2003
Springer
14 years 18 days ago
2003
Springer
Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...
ACIIDS
2010
IEEE
13 years 9 months ago
2010
IEEE
Abstract. A genetic algorithm is used to learn a non-deterministic Petri netbased model of non-linear gene interactions, or statistical epistasis. Petri nets are computational mode...
ISWC
2003
IEEE
14 years 19 days ago
2003
IEEE
Context-aware computing describes the situation where a wearable / mobile computer is aware of its user’s state and surroundings and modifies its behavior based on this informat...
JMLR
2006
13 years 7 months ago
2006
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...