Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: A Theoretical Framework on the Ideal Number of Classifiers for Online Ensembles in Data Streams
New ensemble methods for evolving data streams
Online Machine Learning in Big Data Streams
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
Active Learning from Data Streams
One-class classifier ensemble pruning and weighting with firefly algorithm
The application of AdaBoost for distributed, scalable and on-line learning
Ensemble classifiers with improved overfitting
Fast Kernel Classifiers With Online And Active Learning
Random Balance : Ensembles of variable priors classifiers for imbalanced data
The Effect of Class Distribution on Classifier Learning: An Empirical Study
A novel online multi-label classifier for high-speed streaming data applications
Pruning an ensemble of classifiers via reinforcement learning
Theory of Outlier Ensembles
Boosting in the Limit: Maximizing the Margin of Learned Ensembles
Classifying Data Streams with Skewed Class Distributions and Concept Drifts
A decision-theoretic generalization of on-line learning and an application to boosting
Optimal Distributed Online Prediction
Cost-Sensitive Perceptron Decision Trees for Imbalanced Drifting Data Streams
Random Projection Ensemble Classifiers
An ensemble classification approach for handling spatio-temporal drifts in partially labeled data streams
Breaking down the barriers: the gut microbiome, intestinal permeability and stress-related psychiatric disorders
" sam " neurofeedback in der kinder - und jugendpsychiatrie gottingen englisch : attention - deficit hyperactivity disorder ( adhd ) .
In VINI veritas: realistic and controlled network experimentation
mining high - speed data streams .
Patterns of cognitive appraisal in emotion.