A Brief Overview of Rule Learning

A review and comparison of strategies for handling missing values in separate-and-conquer rule learning

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An Analysis of Stopping and Filtering Criteria for Rule Learning

Determining Factors for Slum Growth with Predictive Data Mining Methods

Directed Graphs

Editorial

Editorial: Preference learning and ranking

Efficient implementation of class-based decomposition schemes for Naïve Bayes

Efficient prediction algorithms for binary decomposition techniques

scholarly article by Sang-Hyeun Park & Johannes Fürnkranz published 6 April 2011 in Data Mining and Knowledge Discovery

Efficient voting prediction for pairwise multilabel classification

Error-Correcting Output Codes as a Transformation from Multi-Class to Multi-Label Prediction

Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms

Graded Multilabel Classification by Pairwise Comparisons

Guest Editorial: Global modeling using local patterns

Guest editorial: First-order knowledge discovery in databases

Hyperlink ensembles: a case study in hypertext classification

LEARNING TO RECOGNIZE MISSING E-MAIL ATTACHMENTS

Label ranking by learning pairwise preferences

Machine learning and games

scholarly article by Michael Bowling et al published 10 May 2006 in Machine Learning

Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification ⬇️

scientific article published in January 2017

Multilabel classification via calibrated label ranking

On Learning From Game Annotations

On Meta-Learning Rule Learning Heuristics

On predictive accuracy and risk minimization in pairwise label ranking

On the quest for optimal rule learning heuristics

Pairwise learning of multilabel classifications with perceptrons

Preference Learning and Ranking by Pairwise Comparison

Preference-based reinforcement learning: a formal framework and a policy iteration algorithm

scholarly article by Johannes Fürnkranz et al published 10 August 2012 in Machine Learning

ROC Analysis

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Re-training Deep Neural Networks to Facilitate Boolean Concept Extraction

article published in 2017

Special Issue on Discovery Science

The Need for Interpretability Biases

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Timing, Sequencing, and Quantum of Life Course Events: A Machine Learning Approach

scholarly article by Francesco Billari et al published March 2006 in European Journal of Population

User profiling for the melvil knowledge retrieval system

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