Margin maximization with feed-forward neural networks: a comparative study with SVM and AdaBoost

Margin maximization with feed-forward neural networks: a comparative study with SVM and AdaBoost (2004)

Cached

Download Links

by Enrique Romero , Lluis Marquez , Xavier Carreras

Citations:

BibTeX

@MISC{Romero04marginmaximization,
    author = {Enrique Romero and Lluis Marquez and Xavier Carreras},
    title = {Margin maximization with feed-forward neural networks: a comparative study with SVM and AdaBoost},
    year = {2004}
}

Bookmark

OpenURL

Abstract

Citations

6696	The Nature of Statistical Learning Theory - Vapnik - 1995
3909	Neural Networks for Pattern Recognition - Bishop - 1995
2034	LIBSVM: A Library for Support Vector Machines,” Software available at http://www.csie.ntu.edu.tw/ ∼cjlin/libsvm - Chang, Lin - 2001
1996	WordNet: An Electronic Lexical Database - Fellbaum, editor - 1998
1714	Schapire R: A decision-theoretic generalization of online learning and an application to boosting - Freund - 1997
1368	Text categorization with support vector machines - Joachims - 1998
1086	Making large-scale SVM learning practical - Joachims - 1999
839	Machine learning in automated text categorization - Sebastiani - 2002
741	Shawe-Taylor J (2000) An Introduction to Support Vector Machines and other kernel-based learning methods - Cristianini
650	JA: A coefficient of agreement for nominal scales - Cohen - 1960
533	X: A re-examination of text categorization methods - Yang, Liu
373	BoosTexter: A boosting-based system for text categorization.” Machine learning 39.2 - Schapire, Singer - 2000
364	An experimental comparison of three methods for constructing ensembles of decision trees: bagging, boosting and randomization - Dietterich
267	When networks disagree: ensemble methods for hybrid neural networks - Perrone, Cooper - 1993
187	Introduction to the special issue on word sense disambiguation: the state of the art. Comput Ling - Ide, Véronis - 1998
167	An equivalence between sparse approximation and support vector machines - Girosi - 1998
119	The connection between regularization operators and support vector kernels. Neural Networks - Smola, Schölkopf, et al. - 1998
101	Multilayer feedforward networks with a nonpolynomial activation function can approximate any function - Leshno, Lin, et al. - 1993
65	An adaptive version of the boost by majority algorithm - Freund - 2000
52	An empirical evaluation of knowledge sources and learning algorithms for word sense disambiguation - Lee, Ng - 2002
43	Exemplar-based word sense disambiguation: Some recent improvements - Ng - 1997
43	Approximation and radial--basis--function networks - Park, Sandberg - 1993
32	The Support Vector Method of Function Estimation - Vapnik - 1998
30	2000): "English SENSEVAL: Report and Results - Kilgarriff, Rosenzweig
29	Constructing boosting algorithms from svms: An application to one-class classification - Rätsch, Mika, et al.
27	Hierarchical decision lists for word sense disambiguation - Yarowsky - 2000
24	A case study on inter-annotator agreement for word sense disambiguation - Ng, Lim, et al. - 1999
23	The measure of a model - Bruce, Wiebe, et al. - 1996
21	Disambiguating Highly Ambiguous Words - Towell, Voorhees - 1998
19	A study of polysemy judgements and inter-annotator agreement - Véronis - 1998
15	Improved boosting algorithms using con dence-rated predictions - Schapire, Singer - 1998
11	Evolution and generalization of a single neurone: I. Single-layer perceptron as seven statistical classifiers - Raudys - 1998
8	Neural networks with periodic and monotonic activation functions: a comparative study in classification problems - Sopena, Romero, et al. - 1999
3	Using LazyBoosting for Word Sense Disambiguation - Escudero, Màrquez, et al. - 2001
2	Integrating subject eld codes into wordnet - Magnini, Cavaglia - 2000
2	A neural support vector architecture with adaptive kernels - Vincent, Bengio - 2000
1	Mooney (Guest Eds.) Introduction: machine learning and natural language - Cardie, R - 1999
1	Boosting Applied to Word Sense Disambiguation in: R. Lopez de Mantaras, E. Plaza (Eds - Escudero, Marquez, et al. - 2000
1	Mantaras, A distance-based attribute selection measure for decision tree induction - Lopezde - 1991
1	Exploiting diversity of margin-based classi ers research report - Romero, Carreras, et al. - 2003
1	Training multilayer perceptron classi ers based on a modi ed support vector method - Suykens, Vandewalle - 1999