منابع مشابه
Regularized Least-Squares Classification
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RLScore is a Python open source module for kernel based machine learning. The library provides implementations of several regularized least-squares (RLS) type of learners. RLS methods for regression and classification, ranking, greedy feature selection, multi-task and zero-shot learning, and unsupervised classification are included. Matrix algebra based computational short-cuts are used to ensu...
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Over the past decades, regularization theory is widely applied in various areas of machine learning to derive a large family of novel algorithms. Traditionally, regularization focuses on smoothing only, and does not fully utilize the underlying discriminative knowledge which is vital for classification. In this paper, we propose a novel regularization algorithm in the least-squares sense, calle...
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ژورنال
عنوان ژورنال: Applied Stochastic Models in Business and Industry
سال: 2018
ISSN: 1524-1904,1526-4025
DOI: 10.1002/asmb.2381