Hoi. Two-layer multiple kernel learning. In International conference on artificial intelligence and statistics, pages 909-917, 2011.Jinfeng Zhuang, Ivor W. Tsang, and Steven C. H. Hoi. Two-layer multiple kernel learning. In JMLR Workshop and Conference Proceedings (AISTATS-2010), volume 9, ...
approvedJune21,2018(receivedreviewApril16,2018)Multilayerneuralnetworksmostpowerfulmodelsmachinelearning,yetfundamentalreasonssuc-cessdefymathematicalunderstanding.Learningneuralnetworkrequiresoptimizingnonconvexhigh-dimensionalobjective(riskfunction),usuallyattackedusingstochasticgra-dientdescent(SGD).DoesSGDconvergeglobal...
basis function (RBF) as kernel function. The kernel function determines the learning ability of SVM and prediction performance can be improved by an appropriate choice of kernel function63. In this study, RBF was used due to its suitability for non-linear classification as well as its good gene...
Thus, the prokaryotic promoter can be recognized by the σ-factors that possess multiple families based on distinct function and structure, such as σ70,σ54,σ38,σ32,σ28 and σ24 in Escherichia coli [2]. However, at present, there is still no clear definition of promoter boundaries, ...
it is indispensable to adopt the concept of intelligent and machine learning. In this regard, a two-layer automated model is proposed. In the first layer, it discriminates between enhancer and non-enhancer. In case of enhancer, further, the second layer identifies the types of enhancer. DNA ...
Convolution neural network involves the selection of multiple hyperparameters, such as the number of convolution cores, learning rate, number of iterations, mini-batch-size, etc. Each hyperparameter directly affects the classification result of the model. After the hyperparameter is adjusted, the hype...
In order to solve this problem, a two-layer decomposition strategy is adopted to deal with the wind speed time series in which IMF1 is further decomposed into multiple IMFs. This signal preprocessing approach can not only reduce the interference of the noise signal, but also preserve the ...