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Boosting: Foundations and Algorithms

1, 2012

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Random projection trees and low dimensional manifolds

Proceedings of the fortieth annual ACM symposium on Theory of computing, 2008, p.537-546

2008

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An Adaptive Version of the Boost by Majority Algorithm

Machine learning, 2001-06, Vol.43 (3), p.293-318

Freund, Yoav

2001

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An active texture-based digital atlas enables automated mapping of structures and markers across brains

Nature methods, 2019-04, Vol.16 (4), p.341-350

2019

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Visualization of Individual Scr mRNAs during Drosophila Embryogenesis Yields Evidence for Transcriptional Bursting

Current biology, 2009-12, Vol.19 (23), p.2037-2042

2009

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Large Margin Classification Using the Perceptron Algorithm

Machine learning, 1999-12, Vol.37 (3), p.277-296

1999

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The nonstochastic multiarmed bandit problem

SIAM journal on computing, 2002-01, Vol.32 (1), p.48-77

2002

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CellBoost: A pipeline for machine assisted annotation in neuroanatomy

AI open, 2024, Vol.5, p.142-154

2024

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A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting

Journal of computer and system sciences, 1997-08, Vol.55 (1), p.119-139

1997

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Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods

The Annals of statistics, 1998-10, Vol.26 (5), p.1651-1686

1998

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Automatic identification of fluorescently labeled brain cells for rapid functional imaging

Journal of neurophysiology, 2010-09, Vol.104 (3), p.1803-1811

2010

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Adaptive Game Playing Using Multiplicative Weights

Games and economic behavior, 1999-10, Vol.29 (1-2), p.79-103

1999

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Identifying metabolic enzymes with multiple types of association evidence

BMC bioinformatics, 2006-03, Vol.7 (1), p.177-177, Article 177

2006

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ResBoost: characterizing and predicting catalytic residues in enzymes

BMC bioinformatics, 2009-06, Vol.10 (1), p.197-197, Article 197

2009

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Algorithmic Learning Theory: 19th International Conference, ALT 2008, Budapest, Hungary, October 13-16, 2008. Proceedings

2008 edition., 2008

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Predicting genetic regulatory response using classification

Bioinformatics, 2004-08, Vol.20 (suppl-1), p.i232-i240

2004

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On the k-means/median cost function

Information processing letters, 2022-08, Vol.177, p.106252, Article 106252

2022

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Profile-based string kernels for remote homology detection and motif extraction

Journal of bioinformatics and computational biology, 2005-06, Vol.3 (3), p.527-550

2005

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An Efficient Boosting Algorithm for Combining Preferences

Journal of machine learning research, 2004-08, Vol.4 (6), p.933-969

2004

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Image-based crystal detection: a machine-learning approach

Acta crystallographica. Section D, Biological crystallography., 2008-12, Vol.64 (12), p.1187-1195

2008

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StreaMRAK a streaming multi-resolution adaptive kernel algorithm

Applied mathematics and computation, 2022-08, Vol.426, p.127112, Article 127112

2022

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Random Projection Trees for Vector Quantization

IEEE transactions on information theory, 2009-07, Vol.55 (7), p.3229-3242

2009

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Automated trading with boosting and expert weighting

Quantitative finance, 2010-04, Vol.10 (4), p.401-420

2010

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Boosting a Weak Learning Algorithm by Majority

Information and computation, 1995-09, Vol.121 (2), p.256-285

Freund, Y.

1995

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Lamellipodial Actin Mechanically Links Myosin Activity with Adhesion-Site Formation

Cell, 2007-02, Vol.128 (3), p.561-575

2007

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Boosting: Foundations and Algorithms

Random projection trees and low dimensional manifolds

An Adaptive Version of the Boost by Majority Algorithm

An active texture-based digital atlas enables automated mapping of structures and markers across brains

Visualization of Individual Scr mRNAs during Drosophila Embryogenesis Yields Evidence for Transcriptional Bursting

Large Margin Classification Using the Perceptron Algorithm

The nonstochastic multiarmed bandit problem

CellBoost: A pipeline for machine assisted annotation in neuroanatomy

A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting

Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods

Automatic identification of fluorescently labeled brain cells for rapid functional imaging

Adaptive Game Playing Using Multiplicative Weights

Identifying metabolic enzymes with multiple types of association evidence

ResBoost: characterizing and predicting catalytic residues in enzymes

Algorithmic Learning Theory: 19th International Conference, ALT 2008, Budapest, Hungary, October 13-16, 2008. Proceedings

Predicting genetic regulatory response using classification

On the k-means/median cost function

Profile-based string kernels for remote homology detection and motif extraction

An Efficient Boosting Algorithm for Combining Preferences

Image-based crystal detection: a machine-learning approach

StreaMRAK a streaming multi-resolution adaptive kernel algorithm

Random Projection Trees for Vector Quantization

Automated trading with boosting and expert weighting

Boosting a Weak Learning Algorithm by Majority

Lamellipodial Actin Mechanically Links Myosin Activity with Adhesion-Site Formation

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