Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Robust support vector regression networks for function approximation with outliers
Support Vector Regression Machines
Outlier detection via sampling ensemble
Practical selection of svm parameters and noise estimation for svm regression
Least Squares Support Vector Machines
On Bayesian Network and Outlier Detection
Incremental learning for ν -Support Vector Regression
Practical Bayesian optimization in the presence of outliers
An effective and efficient algorithm for high-dimensional outlier detection
A fast MST-inspired kNN-based outlier detection method
Automatic Outlier Detection: A Bayesian Approach
Supplementary material for the paper : Bayesian Optimization with Robust Bayesian Neural Networks
A Kernel Fuzzy c-Means Clustering-Based Fuzzy Support Vector Machine Algorithm for Classification Problems With Outliers or Noises
A comprehensive survey of numeric and symbolic outlier mining techniques
Discovering outlier filtering rules from unlabeled data: combining a supervised learner with an unsupervised learner
Learning Nonlinear Functions Using Regularized Greedy Forest.
A survey on unsupervised outlier detection in high-dimensional numerical data
A robust learning approach for regression models based on distributionally robust optimization
Outlier detection for high dimensional data
Detection of outliers in time series data
Feature selection for support vector machines with RBF kernel
On the Use of Deep Learning for Blind Image Quality Assessment
Transcend: Detecting Concept Drift in Malware Classification Models
Bagging Predictors
Human intention inference and motion modeling using approximate E-M with online learning
Automatic keyphrase extraction: An overview of the state of the art