Linear neighborhood propagation
NettetIn this paper, a novel graph-based transductive classification approach, called Linear Neighborhood Propagation, is proposed. The basic idea is to predict the label of a data … Nettet23. feb. 2011 · In this article, we exploit the problem of annotating a large-scale image corpus by label propagation over noisily tagged web images. ... Abbreviation Full name of the method SVM Support Vector Machine [Chang and Lin 2001] kNN k Nearest Neighbors [Duda et al. 2000] LNP Linear Neighborhood Propagation [Wang and Zhang 2008] ...
Linear neighborhood propagation
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Nettet21. des. 2024 · Barrier islands are subaerial expressions consisting of wave-, wind-, and/or tide-deposited sediments found along portions of coasts on every continent except Antarctica [1,2].Due to their position along the land-sea interface, barrier islands often experience rapid episodic impacts related to storms as well as gradual changes related … Nettet1. jun. 2024 · Thus, we can obtain a weight matrix W ∈ R n × n that could be treated as the miRNA pairwise linear neighborhood similarities. 2.3.2. Label propagation. The …
Nettet18. des. 2013 · In this paper, we propose to learn a nonnegative low-rank graph to capture global linear neighborhoods, under the assumption that each data point can be linearly reconstructed from weighted combinations of its direct … Nettet1. sep. 2024 · In this paper, we propose the sparse feature learning ensemble method with linear neighborhood regularization, called SFLLN, to predict drug–drug interactions. First, we consider four drug features: chemical substructures, targets, enzymes and pathways, and project drugs in different feature spaces into the common interaction space.
NettetUnder this assumption, a multi-source information-based linear neighborhood propagation method (MILNP) is proposed. The similarity is calculated through our improved linear neighborhood similarity (ILNS) algorithm, where ILNS has the advantage of obtaining a more accurate neighborhood range over the pre-improvement. Nettet24. mar. 2024 · This paper proposes an image colourisation method based on linear neighbourhood propagation and weighted smoothing. The method comprises global …
Nettet17. jan. 2024 · In this paper, we propose a linear neighborhood propagation method (LPLNP), to predict lncRNA–protein interactions. LPLNP calculates the linear neighborhood similarity in the feature space, and transfers it into the interaction space, and predict unobserved interactions between the lncRNAs and proteins by a label …
Nettet14. apr. 2024 · Download Citation On Apr 14, 2024, Houyi Li and others published GIPA: A General Information Propagation Algorithm for Graph Learning Find, read and cite all the research you need on ResearchGate hae passia verkossaNettet22. jun. 2006 · Based on the reasonable assumption that the label of each data can be linearly reconstructed from its neighbors’ labels, we develop a novel approach, called … pink oval pill 17 12Nettet1. aug. 2024 · A linear neighborhood propagation method was proposed to predict lncRNA-protein interaction [11]. Shen et al [12] developed a kernel ridge regression … pink oval pill 1 9NettetThe linear neighborhood similarity of the feature space is calculated and the results are predicted by label propagation. Meanwhile, multiple feature training is integrated to better explore the potential interaction information in the data. hae passi verkossaNettet25. nov. 2024 · In this paper, we propose a label propagation method with linear neighborhood information (LPLNI) for predicting unobserved drug-target interactions. … hae pesänjakajaaNettet20. des. 2024 · LncRNA-miRNA interaction prediction through sequence-derived linear neighborhood propagation method with information combination The study reveals that known interactions bring the most important information for lncRNA-miRNA interaction prediction, and sequences of lncRNAs (miRNAs) also provide useful information. hae perustoimeentulotukeaNettet25. mar. 2024 · Research on plant lncRNA-miRNA interactions is still in its infancy. In this paper, we propose an accurate predictor, MILNP, for predicting plant lncRNA-miRNA interactions based on improved linear neighborhood similarity measurement and linear neighborhood propagation algorithm. haepolttoainetukea.fi