نتایج جستجو برای: error correcting output codes ecoc

تعداد نتایج: 499423  

2003
Tomonori Kikuchi Shigeo Abe

Error correcting output codes (ECOC) have been proposed to enhance generalization ability of classifiers. If, instead of discrete error functions, continuous error functions are used, unclassifiable regions of multiclass support vector machines are resolved. In this paper, we discuss minimum operations as well as average operations for error functions of support vector machines and show the equ...

Journal: :Pattern Recognition Letters 2005
Ludmila I. Kuncheva

Error-correcting output codes (ECOC) are used to design diverse classifier ensembles. Diversity within ECOC is traditionally measured by Hamming distance. Here we argue that this measure is insufficient for assessing the quality of code for the purposes of building accurate ensembles. We propose to use diversity measures from the literature on classifier ensembles and suggest an evolutionary al...

2001
Francesco Masulli Giorgio Valentini

In previous work, it has been experimentally shown that the implementation of Error Correcting Output Coding (ECOC) classification methods with an ensemble of parallel and independent non linear dichotomizers (ECOC PND) outperforms the implementation with a single monolithic multi layer perceptron (ECOC MLP). This result was ascribed to the higher effectiveness of error correcting output coding...

Journal: :Journal of Machine Learning Research 2010
Sergio Escalera Oriol Pujol Petia Radeva

In this paper, we present an open source Error-Correcting Output Codes (ECOC) library. The ECOC framework is a powerful tool to deal with multi-class categorization problems. This library contains both state-of-the-art coding (one-versus-one, one-versus-all, dense random, sparse random, DECOC, forest-ECOC, and ECOC-ONE) and decoding designs (hamming, euclidean, inverse hamming, laplacian, β-den...

2003
Aijun Zhang Zhi-Li Wu Chun-hung Li Kai-Tai Fang

The error-correcting output coding (ECOC) method reduces the multiclass learning problem into a series of binary classifiers. In this paper, we consider the dense ECOC methods, combining an economical number of base learners. Under the criteria of row separation and column diversity, we suggest the use of Hadamard matrices to design output codes and show them better than other codes of the same...

2012
Miguel Ángel Bautista Sergio Escalera Xavier Baró Oriol Pujol

In this work, we propose a novel Genetic Inspired Error Correcting Output Codes (ECOC) Optimization, which looks for an efficient problem-dependent encoding of the multi-class task with high generalization performance. This optimization procedure is based on novel ECOCCompliant crossover, mutation, and extension operators, which guide the optimization process to promising regions of the search ...

2006
Sergio Escalera Oriol Pujol Petia Radeva

Error correcting output codes (ECOC) represent a successful extension of binary classifiers to address the multiclass problem. In this paper, we propose a novel technique called ECOC-ONE (Optimal Node Embedding) to improve an initial ECOC configuration defining a strategy to create new dichotomies and improve optimally the performance. The process of searching for new dichotomies is guided by t...

2001
Rayid Ghani

We investigate the use of Error-Correcting Output Codes (ECOC) for efficient text classification with a large number of categories and propose several extensions which improve the performance of ECOC. ECOC has been shown to perform well for classification tasks, including text classification, but it still remains an under-explored area in ensemble learning algorithms. We explore the use of erro...

2006

Error correcting output codes (ECOC) represent a successful extension of binary classifiers to address the multiclass problem. In this paper, we propose a novel technique called ECOC-ONE (Optimal Node Embedding) to improve an initial ECOC configuration defining a strategy to create new dichotomies and improve optimally the performance. The process of searching for new dichotomies is guided by t...

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