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Test set

Known as: Holdout method, Training (disambiguation), Dataset (machine learning) 
In many areas of information science, finding predictive relationships from data is a very important task. Initial discovery of relationships is… 
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Related topics

Related topics

20 relations
Array data structureArtificial intelligenceCross-validation (statistics)Data mining

Broader (1)

Machine learning

Papers overview

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Highly Cited
2012
Highly Cited
2012
DEEP NEAR-INFRARED SPECTROSCOPY OF PASSIVELY EVOLVING GALAXIES AT z ≳ 1.4
We present the results of new near-IR spectroscopic observations of passive galaxies at z ≳ 1.4 in a concentration of BzK… 
Highly Cited
2008
Highly Cited
2008
Conditional Random Fields for Integrating Local Discriminative Classifiers
Conditional random fields (CRFs) are a statistical framework that has recently gained in popularity in both the automatic speech… 
Highly Cited
2006
Highly Cited
2006
Active shape models for effective iris segmentation
Iris recognition has been demonstrated to be an efficient technology for doing personal identification. Performance of iris… 
Highly Cited
2004
Highly Cited
2004
Nonvolatile memory based on solid electrolytes
Programmable metallization cell (PMC) memory utilizes electrochemical control of nanoscale quantities of metal in thin films of… 
Highly Cited
2003
Highly Cited
2003
ICA vs. PCA Active Appearance Models: Application to Cardiac MR Segmentation
Statistical shape models generally use Principal Component Analysis (PCA) to describe the main directions of shape variation in a… 
Highly Cited
2002
Highly Cited
2002
Test power reduction through minimization of scan chain transitions
Parallel test application helps reduce the otherwise considerable test times in SOCs; yet its applicability is limited by average… 
Review
2000
Review
2000
Active appearance models: Theory and cases
In this paper, we present a general approach towards image segmentation using the deformable model Active Appearance Model (AAM… 
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Highly Cited
1994
Highly Cited
1994
Automatic Landmark Generation for Point Distribution Models
Point Distribution Models (PDMs) are statistically derived flexible templates which are trained on sets of examples of the object… 
Highly Cited
1989
Highly Cited
1989
Preliminary results on using artificial neural networks for security assessment (of power systems)
Artificial neural network (ANN) techniques are explored as a tool to assess the dynamic security of power systems. The basic role… 
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