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Gradient boosting

Known as: Gradient Boosted Regression Trees, TreeBoost, Gradient boosted trees 
Gradient boosting is a machine learning technique for regression and classification problems, which produces a prediction model in the form of an… 
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Related topics

Related topics

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AdaBoostBoosting (machine learning)Decision stumpDecision tree

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2015
Review
2015
CONSTRAINING THE LIFETIME AND OPENING ANGLE OF QUASARS USING FLUORESCENT Lyα EMISSION: THE CASE OF Q0420–388
A toy model is developed to understand how the spatial distribution of fluorescent emitters in the vicinity of bright quasars… 
2014
2014
Object Recognition in 3D Point Cloud of Urban Street Scene
In this paper we present a novel street scene semantic recognition framework, which takes advantage of 3D point clouds captured… 
2014
2014
Boosted event topologies from TeV scale light quark composite partners
A bstractWe propose a new search strategy for quark partners which decay into a boosted Higgs and a light quark. As an example… 
2013
2013
Boosted dibosons from mixed heavy top squarks
The lighter mass eigenstate ($$\widetilde{t}_1$$) of the two top squarks, the scalar superpartners of the top quark, is extremely… 
2011
2011
Goldstini can give the Higgs a boost
Supersymmetric collider phenomenology depends crucially on whether the lightest observable-sector supersymmetric particle (LOSP… 
2011
2011
Multi-level wordline driver for low power SRAMs in nano-scale CMOS technology
In this paper, a multi-level wordline driver scheme is presented to improve SRAM read and write stability while lowering power… 
2009
2009
Boosted perturbations at the end of inflation
We study the effect on the primordial cosmological perturbations of a sharp transition from inflationary to a radiation and… 
Highly Cited
2007
Highly Cited
2007
Figure-ground segmentation using a hierarchical conditional random field
We propose an approach to the problem of detecting and segmenting generic object classes that combines three "off the shelf… 
2006
2006
Distinguishing the Forest from the TREES: A Comparison of Tree Based Data Mining Methods
In recent years a number of "data mining" approaches for modeling data containing nonlinear and other complex dependencies have… 
2003
2003
Boosted ECOC ensembles for face recognition
The error correcting output coding (ECOC) approach to classifier design decomposes a multi-class problem into a set of… 
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