Simple and Efficient Multiple Kernel Learning by Group Lasso

By Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Michael R. Lyu. 2010

294 citations recorded by the source corpus.

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Citations in the corpus

Learning kernel logistic regression in the presence of class label noise (2014, methodology): “We later use crowdsourcing and 1 StPMKL was compared to Simple MKL [45] and MKL formulation of the robust SVM [44] 2 We use LIBSVM [11] in our reported experiments”
A Survey on Multi-view Learning (2013, background): “Szafranski et al. (2008, 2010); Xu et al. (2010) and Subrahmanya and Shin (2010) constructed the connection between MKL and group-LASSO to model group structure.”
Kernel-Based Weighted Multi-view Clustering (2012, background): “Iterative frameworks are constantly gaining ground in multiple kernel learning [12], [23], [25], and are proving to be quite efﬁcient.”
Where am I in the dark: Exploring active transfer learning on the use of indoor localization based on thermal imaging (2016, methodology): “Our method 96.67 93.84 99.17 98.20 94.35 97.30 98.20 96.67 99.17 98.20 98.20 96.58 98.20 SVM trained by thermal images 91.83 91.83 98.97 86.73 91.83 92.85 92.85 92.85 91.83 95.91 91.83 91.83 92.85 SVM trained by visible images 93.87 91.83 82.65 95.50 91.83 100 94.89 92.85 91.83 63.26 91.83 93.87 98.”
Deep Belief Networks Based Voice Activity Detection (2013, methodology): “A similar usage of the MK-SVM with ours can be found in [59].”
Multiple Kernel Learning from Noisy Labels by Stochastic Programming (2012, methodology): “Besides efficient learning algorithms, various regularizers have been studied for MKL, including l1 norm (Rakotomamonjy et al., 2008; Xu et al., 2010), l2 norm (Cortes et al.”
Multi-View Intact Space Learning (2015, unknown): “Xu et al. [27] constructed the connection between MKL and group-LASSO to model group structure.”
Uncover Topic-Sensitive Information Diffusion Networks (2013, background): “As a consequence, it is well-suited to capture the phenomenon that there is a typical response time for posts of a particular topic, and it is less likely the response time is very different from the mode.”
Multiple Kernel Learning Algorithms (2011, unknown): “Zien and Ong (2007) show that their formulation is equivalent to those of Bach et al.”
Learning Networks of Heterogeneous Influence (2012, methodology): “There are many ways to solve the optimization problem, and we will illustrate this using a simple algorithm originating from multiple kernel learning [16, 19].”