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ORCIDNeural Networks, Volume 48
Volume 48, December 2013
- Benoît Frénay
, Gauthier Doquire, Michel Verleysen:
Is mutual information adequate for feature selection in regression? 1-7
- Yuanyuan Liu, Licheng Jiao, Fanhua Shang, Fei Yin, Fang Liu:
An efficient matrix bi-factorization alternative optimization method for low-rank matrix recovery and completion. 8-18
- Andrés Bueno-Crespo, Pedro J. García-Laencina, José-Luis Sancho-Gómez:
Neural architecture design based on extreme learning machine. 19-24
- Eckart Altenmüller, Dieter Müller:
A model of task-specific focal dystonia. 25-31
- Li Zhang, Weida Zhou:
Analysis of programming properties and the row-column generation method for 1-norm support vector machines. 32-43 - Chunhua Shen, Hanxi Li, Anton van den Hengel:
Fully corrective boosting with arbitrary loss and regularization. 44-58
- Meng-Hiot Lim:
Comments on the "No-Prop" algorithm. 59-60
- Ali Heydari, Sivasubramanya Nadar Balakrishnan:
Fixed-final-time optimal control of nonlinear systems with terminal constraints. 61-71
- Danilo Costarelli, Renato Spigler:
Multivariate neural network operators with sigmoidal activation functions. 72-77
- Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner, Lucia Di Noi:
Solving graph data issues using a layered architecture approach with applications to web spam detection. 78-90 - Avatharam Ganivada, Shubhra Sankar Ray, Sankar K. Pal:
Fuzzy rough sets, and a granular neural network for unsupervised feature selection. 91-108 - Michael Beyeler, Nikil D. Dutt, Jeffrey L. Krichmar:
Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule. 109-124 - Li Zhang, Weida Zhou:
1-norm support vector novelty detection and its sparseness. 125-132
- Christos Ferles, Andreas Stafylopatis:
Self-Organizing Hidden Markov Model Map (SOHMMM). 133-147 - T. N. Khokhlova, Mikhail M. Kipnis:
The breaking of a delayed ring neural network contributes to stability: The rule and exceptions. 148-152
- He Huang, Tingwen Huang, Xiaoping Chen, Chunjiang Qian:
Exponential stabilization of delayed recurrent neural networks: A state estimation based approach. 153-157
- Zhenyuan Guo, Jun Wang, Zheng Yan:
Global exponential dissipativity and stabilization of memristor-based recurrent neural networks with time-varying delays. 158-172
- Dansong Cheng, Minh Nhut Nguyen, Junbin Gao, Daming Shi:
On the construction of the relevance vector machine based on Bayesian Ying-Yang harmony learning. 173-179
- Lihong Huang, Zuowei Cai, Lingling Zhang, Lian Duan:
Dynamical behaviors for discontinuous and delayed neural networks in the framework of Filippov differential inclusions. 180-194
- Shiping Wen, Gang Bao, Zhigang Zeng, Yiran Chen, Tingwen Huang:
Global exponential synchronization of memristor-based recurrent neural networks with time-varying delays. 195-203
- Bernard Widrow:
Reply to the Comments on the "No-Prop" algorithm. 204
- Meng-Hiot Lim:
Erratum to "Comments on the 'No-Prop' algorithm" [Neural Networks 48 (2013) 59-60]. 205
- Osonde Osoba, Bart Kosko:
Corrigendum to "Noise enhanced clustering and competitive learning algorithms" [Neural Networks 37 (2013) 132-140]. 206
- Kexue Li, Jigen Peng, Jinghuai Gao:
A comment on "α-stability and α-synchronization for fractional-order neural networks". 207-208
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