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Information gain in decision trees
Known as:
Gain
In information theory and machine learning, information gain is a synonym for Kullback–Leibler divergence. However, in the context of decision trees…
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Related topics
Related topics
13 relations
Category utility
Decision tree
Decision tree learning
Dimensionality reduction
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
A Novel Procedure for Measuring Semantic Synergy
Yair Neuman
,
Y. Neuman
,
Yochai Cohen
Complex
2017
Corpus ID: 51603288
One interesting characteristic of some complex systems is the formation of macro level constructions perceived as having features…
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2014
2014
An indoor positioning algorithm using joint information entropy based on WLAN fingerprint
Gui Zou
,
Lin Ma
,
Zhongzhao Zhang
,
Yun Mo
International Conference on Computing…
2014
Corpus ID: 16979049
Indoor positioning system in wireless local area network (WLAN) has become more and more popular accompanied by the…
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Highly Cited
2010
Highly Cited
2010
Improving colour image segmentation on acute myelogenous leukaemia images using contrast enhancement techniques
Aimi Salihah
,
M. Y. Mashor
,
N. H. Harun
,
A. Abdullah
,
H. Rosline
IEEE EMBS Conference on Biomedical Engineering…
2010
Corpus ID: 11590544
Contrast enhancement and image segmentation play an important process in most medical image analysis tasks. One of the main tasks…
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2010
2010
A Bayesian-optimal principle for learner-friendly adaptation in learning games
J. Kujala
,
U. Richardson
,
H. Lyytinen
2010
Corpus ID: 62648147
2009
2009
Practical fuzzy decision trees
Na'el Abu-halaweh
,
R. Harrison
IEEE Symposium on Computational Intelligence and…
2009
Corpus ID: 2586963
Decision-tree algorithms are one of the most popular applications in machine learning. The ID3 algorithm is an efficient method…
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2006
2006
Dynamic action spaces for information gain maximization in search and exploration
N. Roy
,
Caleb Earnest
American Control Conference
2006
Corpus ID: 14621137
The problem we investigate is how an autonomous, mobile agent can search for a hidden, moving target efficiently. A good control…
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Highly Cited
2005
Highly Cited
2005
Sensitivity analysis and assessment of prior model probabilities in MLBMA with application to unsaturated fractured tuff
M. Ye
,
S. P. Neuman
,
P. Meyer
,
K. Pohlmann
2005
Corpus ID: 53981311
Previous application of maximum likelihood Bayesian model averaging (MLBMA, Neuman (2002, 2003)) to alternative variogram models…
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2001
2001
Term Weighting Method based on Information Gain Ratio for Summarizing Documents Retrieved by IR Systems
Tatsunori Mori
,
Miwa Kikuchi
,
Kazufumi Yoshida
NTCIR Conference on Evaluation of Information…
2001
Corpus ID: 8082702
This paper proposes a new term weighting method for summarizing documents retrieved by IR systems. Unlike query-biased…
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1999
1999
The arc-transversal median algorithm: an approach to increasing ultrasonic sensor accuracy
K. Nagatani
,
H. Choset
,
N. Lazar
Proceedings IEEE International Conference on…
1999
Corpus ID: 3078567
This paper describes a new method for determining range information about a robot's surroundings using low resolution ultrasonic…
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Highly Cited
1995
Highly Cited
1995
Saliency Maps and Attention Selection in Scale and Spatial Coordinates: An Information Theoretic Approach
Martin Jägersand
IEEE International Conference on Computer Vision
1995
Corpus ID: 14862114
Information measures with respect to spatial locations and scales of objects in an image are important to image processing and…
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