Trade Selection with Supervised Learning and OCA
نویسندگان
چکیده
منابع مشابه
Disambiguation with Feature Selection and Semi - Supervised Learning ”
1. Objective Word Sense Disambiguation (WSD) is the task of determining the right sense of a polysemous word in a given context. This study aims to enhance the performance of supervised-based word sense determination by focusing on feature selection and using bootstrapping techniques. Senses determination of a word is essentially based on the information extracted from the context in which this...
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An important component for making semi-supervised learning applicable to real world data is the task of model selection. For the case of very limited labeled data, for which semi-supervised learning algorithms have the greatest potential to offer improvement in estimating predictive models, model selection is a significant challenge, a key open problem, and often avoided entirely in previous wo...
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ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2018
ISSN: 1556-5068
DOI: 10.2139/ssrn.3298347