Skip to main navigation
Skip to search
Skip to main content
Tel Aviv University Home
Update Request & User Guide (TAU staff only)
Link opens in a new tab
Search content at Tel Aviv University
Home
Experts
Research units
Research output
Datasets
Prizes
Activities
Press/Media
Cross-validated tree-based models for multi-target learning
Yehuda Nissenbaum
,
Amichai Painsky
*
*
Corresponding author for this work
School of Industrial Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
1
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Cross-validated tree-based models for multi-target learning'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Tree Model
100%
Multi-target Learning
100%
Learning Scheme
50%
Popular
25%
Multi-target
25%
Prediction Accuracy
25%
Publicly Available
25%
Machine Learning Techniques
25%
Tree-based
25%
Deep Neural Network
25%
Overfitting
25%
First Author
25%
Splitting Criterion
25%
Improved Prediction
25%
Simultaneous Prediction
25%
Real-world Experiment
25%
Computer Science
Learning Target
100%
Learning Scheme
100%
Machine Learning Technique
50%
Prediction Accuracy
50%
Deep Neural Network
50%
Splitting Criterion
50%
Engineering
Learning Scheme
100%
Nodes
50%
Machine Learning Technique
50%
Multiple Target
50%
Deep Neural Network
50%
Neuroscience
Neural Network
100%