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VC dimension

Known as: VCD (disambiguation), VC, VC-dimension 
In statistical learning theory and computational learning theory, the VC dimension (for Vapnik–Chervonenkis dimension) is a measure of the capacity… 
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Related topics

Related topics

29 relations
Alexey ChervonenkisAlgorithmAlgorithmic inferenceArt gallery problem

Broader (2)

Computational learning theoryStatistical classification

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
VC-bots: a vehicular cloud computing testbed with mobile robots
Smart vehicles with computing, sensing, and communication capabilities are gaining popularity. With various vehicular… 
Review
2013
Review
2013
Intra compression efficiency in VP9 and HEVC
The amount of video data stored on local devices or transmitted over the networks is permanently increased. The emerging of a… 
2011
2011
Combined Intra-Prediction for High-Efficiency Video Coding
New activities in the video coding community are focused on the delivery of technologies that will enable economic handling of… 
2011
2011
VC dimension of ellipsoids
We will establish that the VC dimension of the class of d-dimensional ellipsoids is (d^2+3d)/2, and that maximum likelihood… 
2008
2008
Semi-supervised Classification Using Local and Global Regularization
In this paper, we propose a semi-supervised learning (SSL) algorithm based on local and global regularization. In the local… 
2003
2003
Truck/Trailer compatibility with cars and trucks related topics from VC-COMPAT
2000
2000
Wide-Viewing Display Configuration of Heilix-Deformed Ferroelectric Liquid Crystals
We propose on a novel vertical configuration (VC) for a helix-deformed ferroelectric liquid crystal (HDFLC) display that has fast… 
1996
1996
Connection architecture and protocols to support efficient handoffs over an ATM/B-ISDN personal communications network
The next generation personal communication network will likely internetwork wireless networks via the ATM/B-ISDN to enable… 
1994
1994
Quantifying Generalization in Linearly Weighted Neural Networks
Abst ract . Th e Vapn ik-Chervonenkis dimension has proven to be of great use in the theoret ical study of generalizat ion in… 
1991
1991
Probably Approximate Learning of Sets and Functions
  • B. Natarajan
  • SIAM journal on computing (Print)
  • 1991
  • Corpus ID: 28090658
Probably approximate learning is the inference of a set (also called a concept) from a small number of sample points, under the… 
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