scholar.google.com › citations
SVMs (support vector machines) have met with a significant success in information retrieval field, especially handling text classification tasks.
Recently, several performance estimators for SVMs have been proposed, including Xi-Alpha estimator[3], GACV estimator[4], Span estimator[5], and Radius-Margin ...
This paper has proposed a set of information-retrieval-oriented performance estimators for SVMs, which are based on the span bound of the LOO procedure, ...
In this paper, we have proposed a set of information-retrieval-oriented performance estimators for SVMs, which are based on the span bound of the LOO procedure.
Shui Yu, Hui Song, Fanyuan Ma: Novel SVM Performance Estimators for Information Retrieval Systems. APWeb 2004: 895-898. manage site settings.
https://dblp.org/rec/conf/apweb/YuSM04. Shui Yu, Hui Song, Fanyuan Ma: Novel SVM Performance Estimators for Information Retrieval Systems. APWeb 2004: 895-898.
In this paper, we have proposed a set of information-retrieval-oriented performance estimators for SVMs, which are based on the span bound of the leave-one-out ...
Efficient performance estimate for one-class support vector machine · Novel SVM Performance Estimators for Information Retrieval Systems · An algorithm of ...
Dec 27, 2023 · SVM is a supervised ML algorithm that classifies data by finding an optimal line or hyperplane to maximize distance between each class in ...
An SVM is a kind of large-margin classifier: it is a vector space based machine learning method where the goal is to find a decision boundary between two ...
Missing: Novel Estimators