On the public citation graph

Naive bayesian classifier committees

https://doi.org/10.1007/bfb0026690
0 signed · 60 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1006/jcss.1997.1504openalex-snapshot
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
inferredcites →https://doi.org/10.1007/3-540-59119-2_166openalex-snapshot
A desicion-theoretic generalization of on-line learning and an application to boosting
inferredcites →https://doi.org/10.1007/978-1-4615-5725-8_21openalex-snapshot
Constructive Induction of Cartesian Product Attributes
inferredcites →https://doi.org/10.1007/978-1-4899-2947-1openalex-snapshot
Statistics for Technology
inferredcites →https://doi.org/10.1007/bfb0017015openalex-snapshot
Semi-naive bayesian classifier
inferredcites →https://doi.org/10.1016/0377-2217(85)90321-2openalex-snapshot
Classification and regression trees
inferredcites →https://doi.org/10.1016/b978-1-55860-332-5.50055-9openalex-snapshot
Induction of Selective Bayesian Classifiers
inferredcites →https://doi.org/10.1016/b978-1-55860-335-6.50023-4openalex-snapshot
Irrelevant Features and the Subset Selection Problem
inferredcites →https://doi.org/10.1023/a:1018054314350openalex-snapshot
Bagging Predictors
inferredcites →https://doi.org/10.1145/1273496openalex-snapshot
Proceedings of the 24th international conference on Machine learning
inferredcites →https://doi.org/10.21236/ada292575openalex-snapshot
Selection of Relevant Features in Machine Learning.
inferredcites →https://doi.org/10.2307/1403164openalex-snapshot
Statistics for Technology: A Course in Applied Statistics
inferredcites →https://doi.org/10.2307/1573081openalex-snapshot
Pattern Classification and Scene Analysis
inferredcites →https://doi.org/10.2307/2288003openalex-snapshot
Classification and Regression Trees.
inferredcites →https://doi.org/10.5281/zenodo.19712698openalex-snapshot
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/11408079_46openalex-snapshot
Enhancing SNNB with Local Accuracy Estimation and Ensemble Techniques
inferred← citeshttps://doi.org/10.1007/11751588_32openalex-snapshot
Refinement Method of Post-processing and Training for Improvement of Automated Text Classification
inferred← citeshttps://doi.org/10.1007/3-540-39205-x_105openalex-snapshot
Improving Classification Performance by Combining Multiple TAN Classifiers
inferred← citeshttps://doi.org/10.1007/3-540-44399-1_28openalex-snapshot
A Linear-Bayes Classifier
inferred← citeshttps://doi.org/10.1007/3-540-44593-5_31openalex-snapshot
Ensemble Case-Based Reasoning: Collaboration Policies for Multiagent Cooperative CBR
inferred← citeshttps://doi.org/10.1007/3-540-47887-6_10openalex-snapshot
SNNB: A Selective Neighborhood Based Naïve Bayes for Lazy Learning
inferred← citeshttps://doi.org/10.1007/978-3-642-20841-6_41openalex-snapshot
An Efficient Pre-processing Method to Identify Logical Components from PDF Documents
inferred← citeshttps://doi.org/10.1007/978-3-642-27222-6_13openalex-snapshot
Bayesian Decision Theory
inferred← citeshttps://doi.org/10.1007/978-3-662-71023-4_14openalex-snapshot
Bayesian Decision Theory
inferred← citeshttps://doi.org/10.1007/978-981-99-3758-5_58openalex-snapshot
Naïve Bayesian Classifier Committee (NBCC) Using Decision Tree (C4.5) for Feature Selection
inferred← citeshttps://doi.org/10.1007/bfb0026664openalex-snapshot
Machine Learning: ECML-98
inferred← citeshttps://doi.org/10.1007/bfb0095063openalex-snapshot
Stochastic Attribute Selection Committees
inferred← citeshttps://doi.org/10.1007/bfb0095254openalex-snapshot
Generating classifier committees by stochastically selecting both attributes and training examples
inferred← citeshttps://doi.org/10.1007/s00521-012-1074-3openalex-snapshot
Multiple classifier system for EEG signal classification with application to brain–computer interfaces
inferred← citeshttps://doi.org/10.1007/s10044-007-0079-5openalex-snapshot
Landscapes of Naïve Bayes classifiers
inferred← citeshttps://doi.org/10.1007/s10994-008-5083-5openalex-snapshot
Discretization for naive-Bayes learning: managing discretization bias and variance
inferred← citeshttps://doi.org/10.1016/j.eswa.2015.07.045openalex-snapshot
Social networks and genetic algorithms to choose committees with independent members
inferred← citeshttps://doi.org/10.1016/j.ins.2020.08.117openalex-snapshot
Improving data and model quality in crowdsourcing using cross-entropy-based noise correction
inferred← citeshttps://doi.org/10.1016/j.ipm.2010.11.004openalex-snapshot
Automatic word spacing of erroneous sentences in mobile devices with limited hardware resources
inferred← citeshttps://doi.org/10.1016/j.knosys.2010.09.007openalex-snapshot
NB+: An improved Naïve Bayesian algorithm
inferred← citeshttps://doi.org/10.1016/j.patrec.2010.09.029openalex-snapshot
Efficient appointment information extraction from short messages in mobile devices with limited hardware resources
inferred← citeshttps://doi.org/10.1016/s1566-2535(03)00004-6openalex-snapshot
Ensemble feature selection with the simple Bayesian classification
inferred← citeshttps://doi.org/10.1109/aamas.2004.187openalex-snapshot
Multiagent Collaborative Learning for Distributed Business Systems
inferred← citeshttps://doi.org/10.1109/access.2019.2910224openalex-snapshot
Patient-Centric Cellular Networks Optimization Using Big Data Analytics
inferred← citeshttps://doi.org/10.1109/icmla55696.2022.00137openalex-snapshot
Stochastic Induction of Decision Trees with Application to Learning Haar Trees
inferred← citeshttps://doi.org/10.1109/icpea60617.2024.10498946openalex-snapshot
Single Phase Fault Detection of Induction Motor using Machine Learning Approaches
inferred← citeshttps://doi.org/10.1109/ictai.2004.87openalex-snapshot
Mode committee: a novel ensemble method by clustering and local learning
inferred← citeshttps://doi.org/10.1109/ijcnn.2006.246637openalex-snapshot
Regularization and Averaging of the Selective Naïve Bayes classifier
inferred← citeshttps://doi.org/10.1109/micai.2006.7openalex-snapshot
Alternative Strategies to Explore the SNNB Algorithm Performance
inferred← citeshttps://doi.org/10.1109/sitis.2008.47openalex-snapshot
Context and Keyword Extraction in Plain Text Using a Graph Representation
inferred← citeshttps://doi.org/10.1109/tkde.2012.115openalex-snapshot
Harnessing Folksonomies to Produce a Social Classification of Resources
inferred← citeshttps://doi.org/10.1109/tkde.2012.196openalex-snapshot
Inference-Based Naïve Bayes: Turning Naïve Bayes Cost-Sensitive
inferred← citeshttps://doi.org/10.1109/tnb.2007.897452openalex-snapshot
A Multiagent System for Retrieving Bioinformatics Publications From Web Sources
inferred← citeshttps://doi.org/10.1145/1458082.1458255openalex-snapshot
Identifying table boundaries in digital documents via sparse line detection
inferred← citeshttps://doi.org/10.1145/2576868openalex-snapshot
Discrete Bayesian Network Classifiers
inferred← citeshttps://doi.org/10.1145/312129.312220openalex-snapshot
MetaCost
inferred← citeshttps://doi.org/10.1155/2017/3704525openalex-snapshot
Adaptive Ensemble Method Based on Spatial Characteristics for Classifying Imbalanced Data
inferred← citeshttps://doi.org/10.11606/d.55.2009.tde-02092009-151212openalex-snapshot
Uso de redes complexas na classificação relacional
inferred← citeshttps://doi.org/10.3115/1118853.1118883openalex-snapshot
Feature selection for a rich HPSG grammar using decision trees
inferred← citeshttps://doi.org/10.3390/app12168378openalex-snapshot
Call Failure Prediction in IP Multimedia Subsystem (IMS) Networks
inferred← citeshttps://doi.org/10.3390/jof10110748openalex-snapshot
Unlocking Fungal Potential: The CRISPR-Cas System as a Strategy for Secondary Metabolite Discovery
inferred← citeshttps://doi.org/10.4225/03/59d42df10cb0aopenalex-snapshot
Discretization for Naive-Bayes learning
inferred← citeshttps://doi.org/10.5121/csit.2022.122304openalex-snapshot
Evaluating the Performance of Common Machine Learning Classifiers using various Validation Methods
inferred← citeshttps://doi.org/10.5555/1314498.1390333openalex-snapshot
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts
inferred← citeshttps://doi.org/10.5821/dissertation-2117-93974openalex-snapshot
Part-of-speech Tagging: A Machine Learning Approach based on Decision Trees
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.