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Hammad's Profile
Nobel lectures Dec. 7 2014, for the Nobel Prize in Physiology or Medicine
Application of a Selective Gaussian Naïve Bayes Model for Diffuse-Large B-Cell Lymphoma Classification
An Experimental Study about Simple Decision Trees for Bagging Ensemble on Datasets with Classification Noise
A Semi-naive Bayes Classifier with Grouping of Cases
Interactive Learning of Bayesian Networks
Split Criterions for Variable Selection Using Decision Trees
Selective Gaussian Naïve Bayes Model for Diffuse Large-B-Cell Lymphoma Classification: Some Improvements in Preprocessing and Variable Elimination
Locally Averaged Bayesian Dirichlet Metrics
An Importance Sampling Approach to Integrate Expert Knowledge When Learning Bayesian Networks From Data
Learning classifiers from discretized expression quantitative trait loci
A Bayesian Random Split to Build Ensembles of Classification Trees
lassification with decision trees from a nonparametric predictive inference perspective
IMPRECISE CLASSIFICATION WITH CREDAL DECISION TREES Read More:
Evaluating query-independent object features for relevancy prediction
A Bayesian approach to estimate probabilities in classification trees
