Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Related topics

Related topics

34 relations
Anomaly detectionBackpropagationBayesian structural time seriesBias–variance tradeoff

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
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… 
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… 
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… 
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… 
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
Persian Handwritten Digit Recognition with Classifier Fusion: Class Conscious versus Class Indifferent Approaches
A large experiment on Persian handwritten digits are reported and discussed. In this paper the techniques to combine multiple… 
2008
2008
Classification of Web Services Using Tensor Space Model and Rough Ensemble Classifier
The transition of the World Wide Web from a paradigm of static Web pages to one of dynamic Web services raises a new and… 
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… 
2004
2004
Ensemble of Evolving Neural Networks in Classification
The ensemble of evolving neural networks, which employs neural networks and genetic algorithms, is developed for classification…