13 search results - page 1 / 3 » LBR-Meta: An Efficient Algorithm for Lazy Bayesian Rules |
AUSDM
2008
Springer
13 years 7 months ago
2008
Springer
LBR is a highly accurate classification algorithm, which lazily constructs a single Bayesian rule for each test instance at classification time. However, its computational complex...
ML
2000
ACM
13 years 4 months ago
2000
ACM
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
Semi-naive Bayesian classifiers seek to retain the numerous strengths of naive Bayes while reducing error by weakening the attribute independence assumption. Backwards Sequential ...
JMLR
2010
12 years 11 months ago
2010
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
KDD
2004
ACM
14 years 5 months ago
2004
ACM
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...