Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yuze Duan"'
Publikováno v:
Remote Sensing, Vol 16, Iss 8, p 1407 (2024)
Conventional global navigation satellite system receivers typically employ a two-step positioning procedure (2SP) by first independently estimating the synchronization parameters and then using these parameters to solve a system of superdeterministic
Externí odkaz:
https://doaj.org/article/34106620aeb446a697e350a86b078358
Publikováno v:
IEEE Access, Vol 8, Pp 101133-101144 (2020)
In this paper we introduce the idea of two-stage learning for multiple kernel SVM (MKSVM) and present a new MKSVM algorithm based on two-stage learning (MKSVM-TSL). The first stage is the pre-learning and its aim is to obtain the information of data
Externí odkaz:
https://doaj.org/article/07bd36f4c53a48648eb6240e3a27d05e
Publikováno v:
Neurocomputing. 454:448-460
This paper introduces the idea of learning uniformly ergodic Markov chain for one-against-all support vector machine (OAA-SVM) algorithm. We first obtain the generalization error of OAA-SVM with fast learning rate for uniformly ergodic Markov samples
Publikováno v:
Journal of Statistical Planning and Inference. 214:89-104
In this paper, we first establish the generalization bounds of Lagrangian Support Vector Machines (LSVM) based on uniformly ergodic Markov chain (u.e.M.c.) samples. As an application, we also obtain the generalization bounds of LSVM based on strongly
Publikováno v:
IEEE Access, Vol 8, Pp 101133-101144 (2020)
In this paper we introduce the idea of two-stage learning for multiple kernel SVM (MKSVM) and present a new MKSVM algorithm based on two-stage learning (MKSVM-TSL). The first stage is the pre-learning and its aim is to obtain the information of data