Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: On optimal rule discovery
Fast Effective Rule Induction
Micro and macro evaluation of classification rules
Structured feature selection using coordinate descent optimization
Learning Optimal Bayesian Networks: A Shortest Path Perspective
FERNN: An Algorithm for Fast Extraction of Rules from Neural Networks
PRISM: an algorithm for inducing modular rules
Kingfisher: an efficient algorithm for searching for both positive and negative dependency rules with statistical significance measures
Data Mining with Decision Trees and Decision Rules
An Integrated Bayesian Approach for Effective Multi-Truth Discovery
Iteratively Learning from the Best
Best Subset Selection via a Modern Optimization Lens
Efficient non-greedy optimization of decision trees
Verification of Recurrent Neural Networks Through Rule Extraction
Toward Optimal Feature Selection
Multi-objective optimization in rule-based design space exploration
User profiling in personalization applications through rule discovery and validation
Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support
Learning Optimal Individualized Treatment Rules from Electronic Health Record Data
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Combination of Feature Selection and Optimized Fuzzy Apriori Rules: The Case of Credit Scoring
Using association rules for product assortment decisions: a case study
Air quality data clustering using EPLS method
Learning with a Strong Adversary
Probabilistic system-on-a-chip architectures
Authentication and Authorization for the Internet of Things