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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

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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… 
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
Hybrid and Blind Steganographic Method for Digital Images Based on DWT and Chaotic Map
Steganography is the art and science of hiding secret information into digital media with the intention to transmit this… 
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… 
2009
2009
A Multi-partition Multi-chunk Ensemble Technique to Classify Concept-Drifting Data Streams
We propose a multi-partition, multi-chunk ensemble classifier based data mining technique to classify concept-drifting data… 
2009
2009
A classifier ensemble based on performance level estimation
In this paper, we introduce a new classifier ensemble approach, applied to tissue segmentation in optical images of the uterine… 
2008
2008
Exploiting Unlabeled Text with Different Unsupervised Segmentation Criteria for Chinese Word Segmentation
This paper presents a novel approach to improve Chinese word seg- mentation (CWS) that attempts to utilize unlabeled data such as… 
2007
2007
Naïve Bayes Ensembles with a Random Oracle
Ensemble methods with Random Oracles have been proposed recently (Kuncheva and Rodriguez, 2007). A random-oracle classifier… 
2003
2003
The stationary Monte Carlo method for device simulation. I. Theory
A theoretical analysis of the Monte Carlo method for steady-state semiconductor device simulation, also known as the single…