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Ensemble learning
Known as:
Ensemble Algorithms
, Ensemble Methods
, Ensemble
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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 detection
Backpropagation
Bayesian structural time series
Bias–variance tradeoff
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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
Z. Li
,
Shexia He
,
Zhuosheng Zhang
,
Zhao Hai
Conference on Computational Natural Language…
2018
Corpus ID: 53106242
This paper describes the system of team LeisureX in the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal…
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2013
2013
Hybrid and Blind Steganographic Method for Digital Images Based on DWT and Chaotic Map
Samer H. Atawneh
,
P. Sumari
Journal of Communications
2013
Corpus ID: 16727882
Steganography is the art and science of hiding secret information into digital media with the intention to transmit this…
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2013
2013
JPEG Steganalysis With High-Dimensional Features and Bayesian Ensemble Classifier
Fengyong Li
,
Xinpeng Zhang
,
Bin Chen
,
Guorui Feng
IEEE Signal Processing Letters
2013
Corpus ID: 15915123
This work proposes a JPEG steganalytic scheme based on high-dimensional features and Bayesian ensemble classifier. The proposed…
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2012
2012
Robust Object Tracking Based on Tracking-Learning-Detection
G. Nebehay
,
Verfassung der Arbeit
,
G. Fernandez
,
B. Micusík
,
C. Picus
2012
Corpus ID: 3183326
Current state-of-the-art methods for object tracking perform adaptive tracking-by-detection, meaning that a detector predicts the…
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2010
2010
Rapid Bootstrapping of Word Sense Disambiguation Resources for German
Samuel Broscheit
,
A. Frank
,
+5 authors
Saskia Vola
Conference on Natural Language Processing
2010
Corpus ID: 9509675
This paper presents ongoing efforts on developing Word Sense Disambiguation (WSD) resources for the German language, using…
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2009
2009
A Multi-partition Multi-chunk Ensemble Technique to Classify Concept-Drifting Data Streams
M. Masud
,
Jing Gao
,
L. Khan
,
Jiawei Han
,
B. Thuraisingham
Pacific-Asia Conference on Knowledge Discovery…
2009
Corpus ID: 8462385
We propose a multi-partition, multi-chunk ensemble classifier based data mining technique to classify concept-drifting data…
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2007
2007
Naïve Bayes Ensembles with a Random Oracle
Juan José Rodríguez Diez
,
L. Kuncheva
International Workshop on Multiple Classifier…
2007
Corpus ID: 2271803
Ensemble methods with Random Oracles have been proposed recently (Kuncheva and Rodriguez, 2007). A random-oracle classifier…
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2004
2004
Geometrical Complexity of Classification Problems
T. Ho
arXiv.org
2004
Corpus ID: 231461
Despite encouraging recent progresses in ensemble approaches, classification methods seem to have reached a plateau in…
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2003
2003
The stationary Monte Carlo method for device simulation. I. Theory
H. Kosina
,
M. Nedjalkov
,
S. Selberherr
2003
Corpus ID: 9420744
A theoretical analysis of the Monte Carlo method for steady-state semiconductor device simulation, also known as the single…
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1996
1996
Spectroscopic Detection of Cervical Pre-Cancer through Radial Basis Function Networks
Kagan Tumer
,
N. Ramanujam
,
R. Richards-Kortum
,
Joydeep Ghosh
Neural Information Processing Systems
1996
Corpus ID: 16516070
The mortality related to cervical cancer can be substantially reduced through early detection and treatment. However, current…
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