Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Calculating the VC-dimension of decision trees
Measuring the VC-Dimension of a Learning Machine
The Effect Of Small Disjuncts And Class Distribution On Decision Tree Learning
Induction of Decision Trees
Sample compression, learnability, and the Vapnik-Chervonenkis dimension
Recursive teaching dimension, VC-dimension and sample compression
Induction of One-Level Decision Trees
Simplifying Decision Trees: A Survey
A Comparative Analysis of Methods for Pruning Decision Trees
Geometric Decision Tree
Multivariate decision trees
Constructing Optimal Binary Decision Trees is NP-Complete
The VC-Dimension of Queries and Selectivity Estimation Through Sampling
Decision trees: a recent overview
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Oblivious Decision Trees, Graphs, and Top-Down Pruning
Communication efficient construction of decision trees over heterogeneously distributed data
Learning Decision Trees Using the Area Under the ROC Curve
Top-down induction of decision trees classifiers - a survey
Almost Linear VC-Dimension Bounds for Piecewise Polynomial Networks
Random Forests and Decision Trees
Drug discovery through stem cell-based organoid models.
Advances in Patient Classification for Traditional Chinese Medicine: A Machine Learning Perspective
Local Learning Algorithms
Exercise Induces Hippocampal BDNF through a PGC-1α/FNDC5 Pathway
Radiographic quantification and analysis of dysmorphic upper sacral osseous anatomy and associated iliosacral screw insertions.