# Effectiveness of Error Correcting Output Codes in Multiclass Learning Problems

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/effectiveness-of-error-correcting-output-codes-in-multiclass-learning-problems/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Francesco Masulli,Giorgio Valentini |
| Citations | 43 |
| DOI | 10.1007/3-540-45014-9_10 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W1519066051 |
| Type | conference-paper |
| Year | 2000 |

## Paper authors

- [Francesco Masulli](https://scholariq.org/researchers/francesco-masulli/)

## Paper journal

- [Lecture notes in computer science](https://scholariq.org/journals/lecture-notes-in-computer-science/)

## Paper primary topic

- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)

## Paper topics

- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)
- [Machine Learning and ELM](https://scholariq.org/topics/machine-learning-and-elm/)
- [Machine Learning and Algorithms](https://scholariq.org/topics/machine-learning-and-algorithms/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.