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Hyunjung (Helen) Shin, Ph.D.
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Decision Boundary Pattern Selection for Support Vector Machines
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Hyunjung (Helen) Shin, Ph.D.
Publication of Helen
Neighborhood Property based Pattern Selection for Support Vector Machines
Graph-based Semi-Supervised Learning with Sharper Edges
Response Modeling with Support Vector Machines
Fast Protein Classification with Multiple Networks
Invariance of Neighborhood Relation under Input Space to Feature Space Mapping
Fast Pattern Selection Algorithm for Support Vector Classifiers: Time Complexity Analysis
Fast Pattern Selection Algorithm for Support Vector Classifiers
Pattern Selection Algorithm for Support Vector Classifiers
Observational Learning with Modular Networks
Data mining problems and solutions for response modeling in CRM
A Study on Rainfall-Runoff Models for Improving Ensemble Streamflow Prediction: 1. Rainfall-runoff Models Using Artificial Neural Networks
Pattern Selection Using the Bias and Variance of Ensemble
Chapter 20: Prediction of Protein Function from Networks
Qualitative Modeling for Data Miner's Requirement
Efficient Pattern Selection for Support Vector Classifiers and its CRM Application
Preservation of Neighborhood Relation under Input to Feature Space Mapping in SVM Training
How Many Neighbors To Consider in Pattern Pre-selection for Support Vector Classifiers?
Protein Functional Class Prediction with a Combined Graph: EM-like Optimization
Pattern Selection for SVM based Futures Trading System
How to Deal with Large Dataset, Class Imbalance and Binary Output in SVM based Response Model
Time Complexity Analysis of Fast Pattern Selection Algorithm for SVM
Decision Boundary Pattern Selection for Support Vector Machines
k-NN based Pattern Selection for Support Vector Classifiers
Pattern Selection for `Classification' using the Bias and Variance of Ensemble Neural Network
Pattern Selection Using the Bias and Variance of Ensemble
Pattern Selection for `Regression' using the Bias and Variance of Ensemble Network
Ensemble Learning Algorithm of Specialized Networks
Ensemble of Specialized Networks based on Input Space Partition
Generalization Abilities of Ensemble Learning Algorithms
Generalization Abilities of Ensemble Learning Algorithms: OLA, Bagging, Boosting
Qualitative Modeling for Data Miner's Requirements
Quality Prediction of Steel Products using Neural Networks
KOSPI Prediction using Cascade-Correlation Network
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Hyunjung Shin and Sungzoon Cho
(
2002
)
Decision Boundary Pattern Selection for Support Vector Machines
Proc. of the Korean Data Mining Society Conference.
Note
Seoul, Korea
What's New?
Hyunjung (Helen) Shin, Ph.D.
Publication of Helen
Neighborhood Property based Pattern Selection for Support Vector Machines
