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Ensemble learning

Known as: Ensemble Algorithms, Ensemble Methods, Ensemble 
In statistics and machine learning, ensemble methods use multiple learning algorithms to obtain better predictive performance than could be obtained… 
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Related topics

Related topics

34 relations
Anomaly detectionBackpropagationBayesian structural time seriesBias–variance tradeoff

Papers overview

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2018
2018
Joint Learning of POS and Dependencies for Multilingual Universal Dependency Parsing
This paper describes the system of team LeisureX in the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal… 
2017
2017
Feature Ranking for Multi-target Regression with Tree Ensemble Methods
In this work, we address the task of feature ranking for multi-target regression (MTR). The task of MTR concerns problems where… 
2016
2016
JACERONG at TASS 2016: An Ensemble Classifier for Sentiment Analysis of Spanish Tweets at Global Level
This paper describes an ensemble-based approach developed to participate in TASS-2016 Task 1 on sentiment analysis of Spanish… 
2013
2013
JPEG Steganalysis With High-Dimensional Features and Bayesian Ensemble Classifier
This work proposes a JPEG steganalytic scheme based on high-dimensional features and Bayesian ensemble classifier. The proposed… 
2013
2013
Logo Recognition Based on the Dempster-Shafer Fusion of Multiple Classifiers
The performance of different feature extraction and shape description methods in trademark image recognition systems have been… 
2012
2012
Robust Object Tracking Based on Tracking-Learning-Detection
Current state-of-the-art methods for object tracking perform adaptive tracking-by-detection, meaning that a detector predicts the… 
Review
2011
Review
2011
COMPUTER-AIDED DIAGNOSIS OF BREAST CANCER USING GAUSSIAN MIXTURE CYTOLOGICAL IMAGE SEGMENTATION 2
This paper presents an automatic computer system to breast cancer diagnosis. System was designed to distinguish benign from… 
2010
2010
Rapid Bootstrapping of Word Sense Disambiguation Resources for German
This paper presents ongoing efforts on developing Word Sense Disambiguation (WSD) resources for the German language, using… 
2007
2007
Learning with partly labeled data
  • A. Bouchachia
  • Neural computing & applications (Print)
  • 2007
  • Corpus ID: 23146983
Learning with partly labeled data aims at combining labeled and unlabeled data in order to boost the accuracy of a classifier… 
1996
1996
Spectroscopic Detection of Cervical Pre-Cancer through Radial Basis Function Networks
The mortality related to cervical cancer can be substantially reduced through early detection and treatment. However, current…