Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: A novel probabilistic feature selection method for text classification
Hybrid feature selection for text classification
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
A comparison of event models for Naive Bayes text classification
Unsupervised feature selection technique based on genetic algorithm for improving the Text Clustering
Some Effective Techniques for Naive Bayes Text Classification
Feature Selection as Causal Inference: Experiments with Text Classification
Relative discrimination criterion - A novel feature ranking method for text data
Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering
The Past, Present and Future of Text Classification
Naive Bayes and Text Classification I - Introduction and Theory
Document Transformation for Multi-label Feature Selection in Text Categorization
Extremely fast text feature extraction for classification and indexing
Deep Belief Networks with Feature Selection for Sentiment Classification
Support vector machines and Word2vec for text classification with semantic features
An Improved Random Forest Classifier for Text Categorization
Tackling the Poor Assumptions of Naive Bayes Text Classifiers
Naive Bayes for Text Classification with Unbalanced Classes
Combining structural and citation-based evidence for text classification
Boosting for Text Classification with Semantic Features
Transferring naive Bayes classifiers for text classification
Intrinsic decomposition from a single spectral image.
Cytochrome P450 2D6 variants in a Caucasian population: allele frequencies and phenotypic consequences.
Fast Effective Rule Induction
‘Splitting versus lumping’: Temple–Baraitser and Zimmermann–Laband Syndromes
Customer satisfaction factors of mobile commerce in Korea