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XGBoost

Xgboost is an open-source software library which provides the Gradient boosting framework for C++, Java,Python,R, andJulia.It works on Linux,Windows… 
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Related topics

Related topics

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Apache FlinkApache HadoopApache SparkBoosting (machine learning)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Data-driven Surplus Material Prediction in Steel Coil Production
A steel enterprise is currently trying to avoid the presence of surplus materials since they can greatly increase its operational… 
Review
2019
Review
2019
Using Boosting Approaches to Detect Spam Reviews
When it comes down to buying products from online shops, one of the key factor that influences a buyer are the reviews associated… 
2019
2019
Robust Decision Trees Against Adversarial Examples
  • 2019
  • Corpus ID: 260484042
Similarly, if n1 N1 < n0 N0 and n1+1 N1 ≤ n0 N0 , perturbing one example in ∆IR with label 1 to IL will decrease the information… 
2019
2019
Recommending Web Advertisements based on Long-Short Term User Interest
This paper reports the results of a study carried out to develop a system to recommend web advertisements to users based on their… 
2018
2018
Evolutionary Ensemble Approach for Behavioral Credit Scoring
This paper is concerned with the question of potential quality of scoring models that can be achieved using not only application… 
2018
2018
NJUST @ CLSciSumm-18
This paper introduces NJUST system which is submitted in CLSciSumm 2018 Shared Task at BIRNDL 2018 Workshop. The training corpus… 
2017
2017
Fractal features for automatic detection of dysarthria
Amytrophic lateral sclerosis (ALS) is an incurable neurodegenerative disease. Difficulty articulating speech, dysarthria, is a… 
2017
2017
Detecting Fraudulent Advertisements on a Large E-Commerce Platform
E-commerce platforms face the challenge of efficiently and accurately detecting fraudulent activity every day. Manually checking… 
2017
2017
An accident prediction approach based on XGBoost
As an important threat to public security, urban fire accident causes huge economic loss and catastrophic collapse. Predicting… 
2016
2016
A novel approach for Robust Detection of Heart Beats in Multimodal Data using neural networks and boosted trees
This work describes a novel approach designed for Physionet 2014 Challenge, Robust Detection of Heart Beats in Multimodal Data [5… 
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