1599 search results - page 151 / 320 » Theoretical Frameworks for Data Mining |
ADMA
2006
Springer
14 years 3 months ago
2006
Springer
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
PAKDD
2004
ACM
14 years 3 months ago
2004
ACM
This paper proposes a two-step graph partitioning method to discover constrained clusters with an objective function that follows the well-known minmax clustering principle. Compar...
PAKDD
2009
ACM
14 years 2 months ago
2009
ACM
Abstract. Recently, the variational Bayesian approximation was applied to probabilistic matrix factorization and shown to perform very well in experiments. However, its good perfor...
AUSDM
2008
Springer
13 years 11 months ago
2008
Springer
The area of imbalanced datasets is still relatively new, and it is known that the use of overall accuracy is not an appropriate evaluation measure for imbalanced datasets, because...
SDM
2007
SIAM
13 years 11 months ago
2007
SIAM
We study a class of algorithms that speed up the training process of support vector machines (SVMs) by returning an approximate SVM. We focus on algorithms that reduce the size of...