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Predictive learning with structured (grouped) data
Lichen Liang
, Feng Cai
, Vladimir Cherkassky
Electrical and Computer Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
27
Scopus citations
Overview
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Keyphrases
Predictive Learning
100%
Heterogeneous Data
100%
Training Data
100%
Grouped Data
100%
Biomedical Applications
50%
Clinical Data
50%
Demographic Data
50%
Diagnostic Model
50%
Data-driven Modeling
50%
Modeling Approach
50%
Learning Methodology
50%
Predictive Models
50%
Patient Data
50%
Genetic Data
50%
Model Estimation
50%
Feature Vector
50%
Effective Integration
50%
Grouped Variables
50%
Inductive Learning
50%
New Learning
50%
SVM+
50%
Learning for Structured Data
50%
Machine Learning Applications
50%
Sparse Data
50%
SVM Classifier
50%
Heterogeneous Inputs
50%
Medical Dataset
50%
View Model
50%
Afterword
50%
Single Feature
50%
Multi-task Learning Framework
50%
Computer Science
Support Vector Machine
100%
Heterogeneous Data
100%
Training Data
100%
Data Modelling
50%
Multitask Learning
50%
Learning Framework
50%
Demographic Data
50%
Predictive Model
50%
Clinical Data
50%
Feature Vector
50%
Structured Data
50%
Single Feature
50%
Machine Learning
50%
Learning System
50%
Mathematics
Training Data
100%
Grouped Data
100%
Modeling Approach
50%
Predictive Model
50%
Structured Data
50%
Patient Data
50%
Learning Task
50%
Biomedical Application
50%
Feature Vector
50%