Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes
ICML '05 Proceedings of the 22nd international conference on Machine learning
Augmenting naive Bayes for ranking
ICML '05 Proceedings of the 22nd international conference on Machine learning
Full Bayesian network classifiers
ICML '06 Proceedings of the 23rd international conference on Machine learning
Efficient lazy elimination for averaged one-dependence estimators
ICML '06 Proceedings of the 23rd international conference on Machine learning
Data Mining Static Code Attributes to Learn Defect Predictors
IEEE Transactions on Software Engineering
Diagnosing scrapie in sheep: A classification experiment
Computers in Biology and Medicine
Effects of highly agreed documents in relevancy prediction
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Using classifier ensembles to label spatially disjoint data
Information Fusion
Learning iteratively a classifier with the Bayesian Model Averaging Principle
Pattern Recognition
IEEE Transactions on Knowledge and Data Engineering
Implications of ceiling effects in defect predictors
Proceedings of the 4th international workshop on Predictor models in software engineering
Discriminatively Learning Selective Averaged One-Dependence Estimators Based on Cross-Entropy Method
Computational Intelligence and Security
Survey of Improving Naive Bayes for Classification
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
Finding the Right Family: Parent and Child Selection for Averaged One-Dependence Estimators
ECML '07 Proceedings of the 18th European conference on Machine Learning
A Semi-naive Bayes Classifier with Grouping of Cases
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Adaptive Bayesian network classifiers
Intelligent Data Analysis
Fitting a graph to vector data
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
GAODE and HAODE: two proposals based on AODE to deal with continuous variables
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Bayesian clustering for email campaign detection
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Latent classification models for binary data
Pattern Recognition
Anytime learning and classification for online applications
Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
Patch Learning for Incremental Classifier Design
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
HODE: Hidden One-Dependence Estimator
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Journal of Network and Computer Applications
Using non-lexical features to identify effective indexing terms for biomedical illustrations
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Anytime classification for a pool of instances
Machine Learning
Instance Selection by Border Sampling in Multi-class Domains
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Rule Learning with Probabilistic Smoothing
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
Representing conditional independence using decision trees
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Generalized additive Bayesian network classifiers
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Techniques for evolutionary rule discovery in data mining
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
An Empirical Study on Several Classification Algorithms and Their Improvements
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
An Extendable Meta-learning Algorithm for Ontology Mapping
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
Averaged Naive Bayes Trees: A New Extension of AODE
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
Scaling Up the Accuracy of Bayesian Network Classifiers by M-Estimate
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Simulated evaluation of faceted browsing based on feature selection
Multimedia Tools and Applications
Weightily averaged one-dependence estimators
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Evaluating query-independent object features for relevancy prediction
ECIR'07 Proceedings of the 29th European conference on IR research
Apply a rough set-based classifier to dependency parsing
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
An application of document filtering in an operational system
Information Processing and Management: an International Journal
Co-occurrence cluster features for lexical substitutions in context
TextGraphs-5 Proceedings of the 2010 Workshop on Graph-based Methods for Natural Language Processing
The Knowledge Engineering Review
Random one-dependence estimators
Pattern Recognition Letters
Scaling up the accuracy of Bayesian classifier based on frequent itemsets by m-estimate
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part I
Data classification using rough sets and naïve Bayes
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Detecting and ordering salient regions
Data Mining and Knowledge Discovery
Pattern Recognition Letters
Analyzing the impact of the discretization method when comparing Bayesian classifiers
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
NB+: An improved Naïve Bayesian algorithm
Knowledge-Based Systems
One Dependence Value Difference Metric
Knowledge-Based Systems
Automatic image search based on improved feature descriptors and decision tree
Integrated Computer-Aided Engineering
Flexible learning of k-dependence Bayesian network classifiers
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Computational Biology and Chemistry
Fast wrapper feature subset selection in high-dimensional datasets by means of filter re-ranking
Knowledge-Based Systems
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Bayesian classifiers for positive unlabeled learning
WAIM'11 Proceedings of the 12th international conference on Web-age information management
An incremental ensemble of classifiers
Artificial Intelligence Review
To select or to weigh: a comparative study of model selection and model weighing for SPODE ensembles
ECML'06 Proceedings of the 17th European conference on Machine Learning
Ensemble selection for superparent-one-dependence estimators
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Improving Tree augmented Naive Bayes for class probability estimation
Knowledge-Based Systems
Robust bayesian linear classifier ensembles
ECML'05 Proceedings of the 16th European conference on Machine Learning
Cascading customized naïve bayes couple
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Ensemble learning based on multi-task class labels
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Graph-Based model-selection framework for large ensembles
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Bias and variance of rotation-based ensembles
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Lazy averaged one-dependence estimators
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Voting massive collections of bayesian network classifiers for data streams
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Double-layer bayesian classifier ensembles based on frequent itemsets
International Journal of Automation and Computing
An unsupervised approach to feature discretization and selection
Pattern Recognition
Non-Disjoint discretization for aggregating one-dependence estimator classifiers
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Techniques for efficient learning without search
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
A network intrusion detection system based on a Hidden Naïve Bayes multiclass classifier
Expert Systems with Applications: An International Journal
A Bayesian stochastic search method for discovering Markov boundaries
Knowledge-Based Systems
Online speedup learning for optimal planning
Journal of Artificial Intelligence Research
Host load prediction in a Google compute cloud with a Bayesian model
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Classification of photos based on good feelings: ACM MM 2012 multimedia grand challenge submission
Proceedings of the 20th ACM international conference on Multimedia
Automated feature weighting in naive bayes for high-dimensional data classification
Proceedings of the 21st ACM international conference on Information and knowledge management
Creating a system for lexical substitutions from scratch using crowdsourcing
Language Resources and Evaluation
LTC: A latent tree approach to classification
International Journal of Approximate Reasoning
Improving naive Bayes classifier using conditional probabilities
AusDM '11 Proceedings of the Ninth Australasian Data Mining Conference - Volume 121
Active AODE learning based on a novel sampling strategy and its application
International Journal of Computer Applications in Technology
Proceedings of the 15th ACM on International conference on multimodal interaction
Boosting for superparent-one-dependence estimators
International Journal of Computing Science and Mathematics
An ensemble of Bayesian networks for multilabel classification
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
A Bayesian network model for predicting pregnancy after in vitro fertilization
Computers in Biology and Medicine
Credal ensembles of classifiers
Computational Statistics & Data Analysis
Google hostload prediction based on Bayesian model with optimized feature combination
Journal of Parallel and Distributed Computing
Domains of competence of the semi-naive Bayesian network classifiers
Information Sciences: an International Journal
A survey on latent tree models and applications
Journal of Artificial Intelligence Research
Alleviating naive Bayes attribute independence assumption by attribute weighting
The Journal of Machine Learning Research
Learning attribute weighted AODE for ROC area ranking
International Journal of Information and Communication Technology
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Of numerous proposals to improve the accuracy of naive Bayes by weakening its attribute independence assumption, both LBR and Super-Parent TAN have demonstrated remarkable error performance. However, both techniques obtain this outcome at a considerable computational cost. We present a new approach to weakening the attribute independence assumption by averaging all of a constrained class of classifiers. In extensive experiments this technique delivers comparable prediction accuracy to LBR and Super-Parent TAN with substantially improved computational efficiency at test time relative to the former and at training time relative to the latter. The new algorithm is shown to have low variance and is suited to incremental learning.