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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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Array data structureArtificial intelligenceCross-validation (statistics)Data mining
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Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
Language Models are Unsupervised Multitask Learners
Natural language processing tasks, such as question answering, machine translation, reading comprehension, and summarization, are… 
Highly Cited
2004
Highly Cited
2004
Induction of Decision Trees
The technology for building knowledge-based systems by inductive inference from examples has been demonstrated successfully in… 
Highly Cited
2001
Highly Cited
2001
Rapid object detection using a boosted cascade of simple features
This paper describes a machine learning approach for visual object detection which is capable of processing images extremely… 
Highly Cited
2001
Highly Cited
2001
Active Appearance Models
We describe a new method of matching statistical models of appearance to images. A set of model parameters control modes of shape… 
Highly Cited
1998
Highly Cited
1998
The Random Subspace Method for Constructing Decision Forests
  • T. Ho
  • IEEE Trans. Pattern Anal. Mach. Intell.
  • 1998
  • Corpus ID: 206420153
Much of previous attention on decision trees focuses on the splitting criteria and optimization of tree sizes. The dilemma… 
Highly Cited
1998
Highly Cited
1998
Combining labeled and unlabeled data with co-training
We consider the problem of using a large unlabeled sample to boost performance of a learning algorit,hrn when only a small set of… 
Highly Cited
1997
Highly Cited
1997
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
We develop a face recognition algorithm which is insensitive to large variation in lighting direction and facial expression… 
Highly Cited
1997
Highly Cited
1997
Wrappers for Feature Subset Selection
Review
1997
Review
1997
A review of methods for the assessment of prediction errors in conservation presence/absence models
Predicting the distribution of endangered species from habitat data is frequently perceived to be a useful technique. Models that… 
Highly Cited
1995
Highly Cited
1995
Active Shape Models-Their Training and Application
!, Model-based vision is firmly established as a robust approach to recognizing and locating known rigid objects in the presence… 
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