Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Learning from Small Data Set to Build Classification Model: A Survey
Extending Attribute Information for Small Data Set Classification
Very Simple Classification Rules Perform Well on Most Commonly Used Datasets
The Effect of Class Distribution on Classifier Learning: An Empirical Study
A General Lower Bound on the Number of Examples Needed for Learning
The Effect Of Small Disjuncts And Class Distribution On Decision Tree Learning
A study on classification techniques in data mining
One-Class Classification with Extreme Learning Machine
An insight into classification with imbalanced data : Empirical results and current trends on using data intrinsic characteristics
Cost-Sensitive Learning and the Class Imbalance Problem
Experimental perspectives on learning from imbalanced data
Data mining with imbalanced class distributions: concepts and methods.
A Survey on Decision Tree Algorithm for Classification
Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets
Handling limited datasets with neural networks in medical applications: A small-data approach
Classification algorithm in Data mining : An Overview
The Impact of Overfitting and Overgeneralization on the Classification Accuracy in Data Mining
Survey on Multiclass Classification Methods
Machine learning: a review of classification and combining techniques
Do we need hundreds of classifiers to solve real world classification problems
Learning from Imbalanced Data
SACQ Solder Board Level Reliability Evaluation and Life Prediction Model for Wafer Level Packages
Semi-supervised Learning for Real-world Object Recognition using Adversarial Autoencoders
Investigations on Impact of Feature Normalization Techniques on Classifier's Performance in Breast Tumor Classification
Depth Map Reconstruction for Underwater Kinect Camera Using Inpainting and Local Image Mode Filtering
Feature Selection Extraction and Construction