Lazy learning of Bayesian rules
Z Zheng, GI Webb - Machine learning, 2000 - Springer
… lazy learning techniques to Bayesian tree induction and presents the resulting lazy Bayesian
rule learning … This algorithm can be justified by a variant of Bayes theorem which supports a …
rule learning … This algorithm can be justified by a variant of Bayes theorem which supports a …
… accuracy performance of naïve Bayesian (NB), Bayesian networks (BN), lazy learning of Bayesian rules (LBR) and instance-based learner (IB1)-comparative study
A Cufoglu, M Lohi, K Madani - 2008 International Conference …, 2008 - ieeexplore.ieee.org
… LBR is one of the lazy learning algorithms that have been proposed … Bayesian classifier.
LBR algorithm can be thought of as applying Lazy Learning techniques to Naïve Bayesian rule [9…
LBR algorithm can be thought of as applying Lazy Learning techniques to Naïve Bayesian rule [9…
Comparison of lazy Bayesian rule, and tree-augmented Bayesian learning
Z Wang, GI Webb - 2002 IEEE International Conference on …, 2002 - ieeexplore.ieee.org
… lazy learning techniques to naive Bayesian rule … a lazy Bayesian rule (LBR) learning
algorithm [ 171. a tree-augmented Bayesian network (TAN) learning algorithm (71, and a lazy tree-…
algorithm [ 171. a tree-augmented Bayesian network (TAN) learning algorithm (71, and a lazy tree-…
Completely lazy learning
… has total lower error with Bayesian neighborhoods than with cross validation. This is surprising
because to make the Bayesian neighborhoods completely lazy, we used fixed regulariza…
because to make the Bayesian neighborhoods completely lazy, we used fixed regulariza…
Learning lazy rules to improve the performance of classifiers
… Based on an earlier study on lazy Bayesian rule learning, this paper introduces a general
lazy learning framework, called LAZyRuLE, that begins to learn a rule only when classifying a …
lazy learning framework, called LAZyRuLE, that begins to learn a rule only when classifying a …
Snnb: A selective neighborhood based naive Bayes for lazy learning
… on improving the accuracy of Naïve Bayes via eager learning. In this paper, we propose a
novel lazy learning algorithm, Selective Neighbourhood based Naïve Bayes (SNNB). SNNB …
novel lazy learning algorithm, Selective Neighbourhood based Naïve Bayes (SNNB). SNNB …
Learning lazy naive Bayesian classifiers for ranking
… fact and aiming at improving naive Bayes with accurate ranking, we present a new lazy
learning algorithm, called lazy naive Bayes (simply LNB), to extend naive Bayes for ranking. We …
learning algorithm, called lazy naive Bayes (simply LNB), to extend naive Bayes for ranking. We …
A lazy learning approach for building classification models
IM Galván, JM Valls, M García… - International journal of …, 2011 - Wiley Online Library
… propose a lazy learning strategy for building classification learning models. Instead of learning
the … Our intention is to provide a lazy learning mechanism suited to any machine learning …
the … Our intention is to provide a lazy learning mechanism suited to any machine learning …
A lazy approach to associative classification
… Since by Property 2 all rules encoded in a compact rule have the same confidence and χ …
compact rules. In Section IV-A we describe how lazy pruning is applied to the compact rule set …
compact rules. In Section IV-A we describe how lazy pruning is applied to the compact rule set …
Candidate elimination criteria for lazy Bayesian rules
GI Webb - AI 2001: Advances in Artificial Intelligence: 14th …, 2001 - Springer
… LBR uses lazy learning. Calculation is performed when an object is to be classified. Only …
This paper makes two contributions to the literature on lazy Bayesian rules. First, it presents …
This paper makes two contributions to the literature on lazy Bayesian rules. First, it presents …