Pages that link to "Item:Q1380855"

The following pages link to On the optimality of the simple Bayesian classifier under zero-one loss (Q1380855):

Displaying 50 items.

• Active classification using belief functions and information gain maximization (Q274429) (← links)
• A hybrid random field model for scalable statistical learning (Q280358) (← links)
• Efficient approximation of the conditional relative entropy with applications to discriminative learning of Bayesian network classifiers (Q280459) (← links)
• A feature construction approach for genetic iterative rule learning algorithm (Q394994) (← links)
• Mixed-membership naive Bayes models (Q408636) (← links)
• Linear classifiers are nearly optimal when hidden variables have diverse effects (Q420914) (← links)
• Distributed prediction from vertically partitioned data (Q436642) (← links)
• Novel Fisher discriminant classifiers (Q437766) (← links)
• Support vector machines with applications (Q449731) (← links)
• Hunting for significance: Bayesian classifiers under a mixture loss function (Q460651) (← links)
• A Bayesian classifier learning algorithm based on optimization model (Q474350) (← links)
• Efficient implementation of class-based decomposition schemes for naïve Bayes (Q479479) (← links)
• Reaching a joint decision with minimal elicitation of voter preferences (Q506745) (← links)
• Solution of the dependence estimation problem using groups of recognition algorithms (Q610606) (← links)
• Detection of radioactive material entering national ports: a Bayesian approach to radiation portal data (Q614138) (← links)
• A tree augmented classifier based on extreme imprecise Dirichlet model (Q622264) (← links)
• Feedforward neural networks for compound signals (Q642544) (← links)
• Multiclass classification with potential function rules: margin distribution and generalization (Q645885) (← links)
• Decision and game theory for security. Second international conference, GameSec 2011, College Park, MD, Maryland, USA, November 14--15, 2011. Proceedings (Q645930) (← links)
• Combining predictions in pairwise classification: an optimal adaptive voting strategy and its relation to weighted voting (Q733148) (← links)
• Classification using hierarchical naïve Bayes models (Q851860) (← links)
• Naïve heuristics for paired comparisons: some results on their relative accuracy (Q856650) (← links)
• Probabilistic combination of classification rules and its application to medical diagnosis (Q890315) (← links)
• Reducing the structure space of Bayesian classifiers using some general algorithms (Q894536) (← links)
• Learning extended tree augmented naive structures (Q895526) (← links)
• Online streaming feature selection using rough sets (Q899464) (← links)
• Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis (Q903578) (← links)
• Domains of competence of the semi-naive Bayesian network classifiers (Q903594) (← links)
• Ensembles of relational classifiers (Q929307) (← links)
• Distribution of mutual information from complete and incomplete data (Q957142) (← links)
• Supervised classification using probabilistic decision graphs (Q961276) (← links)
• A robust unified approach to analyzing methylation and gene expression data (Q961331) (← links)
• Evidence and scenario sensitivities in naive Bayesian classifiers (Q962645) (← links)
• Bayesian classifiers based on kernel density estimation: flexible classifiers (Q962861) (← links)
• Feature selection for Bayesian network classifiers using the MDL-FS score (Q990984) (← links)
• A bias/variance decomposition for models using collective inference (Q1009278) (← links)
• Discretization for Naive-Bayes learning: managing discretization bias and variance (Q1009306) (← links)
• Detection of unknown computer worms based on behavioral classification of the host (Q1023802) (← links)
• Naïve possibilistic network classifiers (Q1043312) (← links)
• Bayesian network classifiers (Q1380857) (← links)
• The naive credal classifier (Q1611800) (← links)
• Credal ensembles of classifiers (Q1621364) (← links)
• Wallenius Bayes (Q1621871) (← links)
• Predicting pediatric clinic no-shows: a decision analytic framework using elastic net and Bayesian belief network (Q1639255) (← links)
• Hybrid learning of Bayesian multinets for binary classification (Q1676890) (← links)
• Weighted classifier ensemble based on quadratic form (Q1677847) (← links)
• An analytic hierarchy model for classification algorithms selection in credit risk analysis (Q1718069) (← links)
• Nonlinear methodologies for identifying seismic event and nuclear explosion using random forest, support vector machine, and naive Bayes classification (Q1724162) (← links)
• Multiple Bayesian discriminant functions for high-dimensional massive data classification (Q1741308) (← links)
• Kernel mixture model for probability density estimation in Bayesian classifiers (Q1741388) (← links)