Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Cost-Sensitive Semi-Supervised Support Vector Machine
Optimization Techniques for Semi-Supervised Support Vector Machines
Cost-sensitive learning with noisy labels
Controlling the Sensitivity of Support Vector Machines
Cost-sensitive learning by cost-proportionate example weighting
Cost-sensitive learning methods for imbalanced data
Cost-sensitive boosting for classification of imbalanced data
MetaCost: a general method for making classifiers cost-sensitive
Training cost-sensitive neural networks with methods addressing the class imbalance problem
Sequential Minimal Optimization: A Fast Algorithm for Training Support Vector Machines
AdaCost: Misclassification Cost-Sensitive Boosting
Feature-cost sensitive learning with submodular trees of classifiers
SEQUENTIAL MINIMAL OPTIMIZATION IN SUPPORT VECTOR MACHINE
Cost-sensitive learning for large-scale hierarchical classification
A Comparison of Methods for Multiclass Support Vector Machines
Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics
transductive based cost - sensitive multi - label classification ms .
Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data
Proactive learning: cost-sensitive active learning with multiple imperfect oracles
Least Squares Support Vector Machines
Support Vector Machine Soft Margin Classifiers: Error Analysis
Nanoscale structural oscillations in perovskite oxides induced by oxygen evolution
A hierarchical model of approach and avoidance achievement motivation
PPS — Placement prediction system using logistic regression
Experiments with a New Boosting Algorithm
Joint Neural Architecture Search and Quantization