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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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Papers overview

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2017
2017
One interesting characteristic of some complex systems is the formation of macro level constructions perceived as having features… 
2014
2014
Indoor positioning system in wireless local area network (WLAN) has become more and more popular accompanied by the… 
Highly Cited
2010
Highly Cited
2010
Contrast enhancement and image segmentation play an important process in most medical image analysis tasks. One of the main tasks… 
2009
2009
Decision-tree algorithms are one of the most popular applications in machine learning. The ID3 algorithm is an efficient method… 
2006
2006
The problem we investigate is how an autonomous, mobile agent can search for a hidden, moving target efficiently. A good control… 
Highly Cited
2005
Highly Cited
2005
Previous application of maximum likelihood Bayesian model averaging (MLBMA, Neuman (2002, 2003)) to alternative variogram models… 
2001
2001
This paper proposes a new term weighting method for summarizing documents retrieved by IR systems. Unlike query-biased… 
1999
1999
This paper describes a new method for determining range information about a robot's surroundings using low resolution ultrasonic… 
Highly Cited
1995
Highly Cited
1995
Information measures with respect to spatial locations and scales of objects in an image are important to image processing and…