query: Sufficient set of features for distinguishing items
positive_passages.docid: 25481
positive_passages.text: Minimum set of features that can distinguish all objects
negative_passages.docid: 129819
negative_passages.text: Using canonical correlation analysis (CCA) to find matches
negative_passages.docid: 104882
negative_passages.text: Relative importance of a set of predictors in a random forests classification in R
negative_passages.docid: 98369
negative_passages.text: Reducing number of point features considering minimal distance and spatial distribution
negative_passages.docid: 3768
negative_passages.text: Optimality in Clustering algorithms and an Optimality guaranteed clustering algorithm
negative_passages.docid: 24257
negative_passages.text: Rule-based labeling using Atlas
negative_passages.docid: 123000
negative_passages.text: how to improve LBP operator by reducing feature dimension
negative_passages.docid: 35309
negative_passages.text: Feature selection before neural network classification
negative_passages.docid: 57585
negative_passages.text: Discovering new features
negative_passages.docid: 134326
negative_passages.text: Cell identification by Body Cells
negative_passages.docid: 126595
negative_passages.text: Does feature selection help improve the performance of machine learning?
negative_passages.docid: 144918
negative_passages.text: Lasso features selection through Crossvalidation
negative_passages.docid: 28133
negative_passages.text: Theoretical: Minimum Number of Support Vectors
negative_passages.docid: 103682
negative_passages.text: Sufficient Identification for Intra Schengen flights
negative_passages.docid: 104621
negative_passages.text: On the hardness of data to learn
negative_passages.docid: 77815
negative_passages.text: Machine Learning with intended missing values
negative_passages.docid: 125931
negative_passages.text: When should I be taking the time to identify items, and which items should I not bother with?