989 search results - page 112 / 198 » Classification and regression trees |
128
click to vote
KDD
2002
ACM
16 years 4 months ago
2002
ACM
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
136
click to vote
DIS
2006
Springer
15 years 8 months ago
2006
Springer
Incremental learning is an approach to deal with the classification task when datasets are too large or when new examples can arrive at any time. One possible approach uses concent...
131
click to vote
CORR
2010
Springer
15 years 4 months ago
2010
Springer
Although backpropagation ANNs generally predict better than decision trees do for pattern classification problems, they are often regarded as black boxes, i.e., their predictions c...
152
click to vote
IJCAI
2003
15 years 5 months ago
2003
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
163
click to vote
CORR
2008
Springer
15 years 4 months ago
2008
Springer
Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...