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Publication search results
found 96 matches
- 2018
- Maryam Abaszade, Sohrab Effati:
Stochastic Support Vector Machine for Classifying and Regression of Random Variables. Neural Process. Lett. 48(1): 1-29 (2018) - Milad I. Akhlaghi, Sergey V. Sukhov:
Knowledge Fusion in Feedforward Artificial Neural Networks. Neural Process. Lett. 48(1): 257-272 (2018) - Boudour Ammar, Hajer Brahmi, Farouk Chérif:
On the Weighted Pseudo-Almost Periodic Solution for BAM Networks with Delays. Neural Process. Lett. 48(2): 849-862 (2018) - Chaouki Aouiti, Foued Miaadi:
Finite-Time Stabilization of Neutral Hopfield Neural Networks with Mixed Delays. Neural Process. Lett. 48(3): 1645-1669 (2018) - Witali Aswolinskiy, René Felix Reinhart, Jochen J. Steil:
Time Series Classification in Reservoir- and Model-Space. Neural Process. Lett. 48(2): 789-809 (2018) - Marco Bongini, Antonino Freno, Vincenzo Laveglia, Edmondo Trentin:
Dynamic Hybrid Random Fields for the Probabilistic Graphical Modeling of Sequential Data: Definitions, Algorithms, and an Application to Bioinformatics. Neural Process. Lett. 48(2): 733-768 (2018) - Anna S. Bosman, Andries P. Engelbrecht, Mardé Helbig:
Fitness Landscape Analysis of Weight-Elimination Neural Networks. Neural Process. Lett. 48(1): 353-373 (2018) - Wenkai Chang, Guodong Yang, En Li, Zize Liang:
Toward a Cluttered Environment for Learning-Based Multi-Scale Overhead Ground Wire Recognition. Neural Process. Lett. 48(3): 1789-1800 (2018) - Peiju Chang, Jiangshe Zhang, Junying Hu, Zengjie Song:
A Deep Neural Network Based on ELM for Semi-supervised Learning of Image Classification. Neural Process. Lett. 48(1): 375-388 (2018) - Erik Cuevas, Adolfo Reyna-Orta, Margarita-Arimatea Díaz-Cortés:
A Multimodal Optimization Algorithm Inspired by the States of Matter. Neural Process. Lett. 48(1): 517-556 (2018) - Limiao Deng, Mingyue Gao, Yanjiang Wang:
Increment Learning and Rapid Retrieval of Visual Information Based on Pattern Association Memory. Neural Process. Lett. 48(3): 1597-1610 (2018) - Madson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, Ananda L. Freire:
Fixed-Size Extreme Learning Machines Through Simulated Annealing. Neural Process. Lett. 48(1): 135-151 (2018) - Sha Ding, Zhi Chen, Shi-yuan Zhao, Tao Lin:
Pruning the Ensemble of ANN Based on Decision Tree Induction. Neural Process. Lett. 48(1): 53-70 (2018) - Wenhua Dong, Xiao-Jun Wu:
Robust Low Rank Subspace Segmentation via Joint ℓ21 -Norm Minimization. Neural Process. Lett. 48(1): 299-312 (2018) - Yong Du, Yu Wang, Xin Huang, Qinghua Hu:
Driver State Analysis Based on Imperfect Multi-view Evidence Support. Neural Process. Lett. 48(1): 195-217 (2018) - Ömer Faruk Ertugrul:
Two Novel Versions of Randomized Feed Forward Artificial Neural Networks: Stochastic and Pruned Stochastic. Neural Process. Lett. 48(1): 481-516 (2018) - Jingjing Gao, Xin Dai, Chongjin Zhu, Jie-Zhi Cheng, Xiaoguang Tu, Daiqiang Chen, Bin Sun, Yachun Gao, Mei Xie:
Supervoxel Segmentation and Bias Correction of MR Image with Intensity Inhomogeneity. Neural Process. Lett. 48(1): 153-166 (2018) - Francesco Grasso, Antonio Luchetta, Stefano Manetti:
A Multi-Valued Neuron Based Complex ELM Neural Network. Neural Process. Lett. 48(1): 389-401 (2018) - Kaizhong Guan, Qisheng Wang:
Impulsive Control for a Class of Cellular Neural Networks with Proportional Delay. Neural Process. Lett. 48(3): 1459-1479 (2018) - Kavya Gupta, Angshul Majumdar:
Imposing Class-Wise Feature Similarity in Stacked Autoencoders by Nuclear Norm Regularization. Neural Process. Lett. 48(1): 615-629 (2018) - Jian Hou, Xu E, Wei-Xue Liu:
Density Based Cluster Growing via Dominant Sets. Neural Process. Lett. 48(2): 933-954 (2018) - Lingfang Hu, Juan Hu, Zhen Ye, Chaomin Shen, Yaxin Peng:
Performance Analysis for SVM Combining with Metric Learning. Neural Process. Lett. 48(3): 1373-1394 (2018) - Lu Huang, Lu-yang Xiang:
Method for Meteorological Early Warning of Precipitation-Induced Landslides Based on Deep Neural Network. Neural Process. Lett. 48(2): 1243-1260 (2018) - Jayadeva, Mayank Sharma, Sumit Soman, Himanshu Pant:
Ultra-Sparse Classifiers Through Minimizing the VC Dimension in the Empirical Feature Space - Submitted to the Special Issue on "Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition". Neural Process. Lett. 48(2): 881-913 (2018) - Fanchao Kong, Shiping Lu, Zhiguo Luo:
Solitary Wave and Periodic Wave Solutions of Generalized Neutral-Type Neural Networks with Delays. Neural Process. Lett. 48(1): 441-458 (2018) - Fanchao Kong, Zhiguo Luo, Xiaoping Wang:
Piecewise Pseudo Almost Periodic Solutions of Generalized Neutral-Type Neural Networks with Impulses and Delays. Neural Process. Lett. 48(3): 1611-1631 (2018) - Ludwig Lausser, Robin Szekely, Lyn-Rouven Schirra, Hans A. Kestler:
The Influence of Multi-class Feature Selection on the Prediction of Diagnostic Phenotypes. Neural Process. Lett. 48(2): 863-880 (2018) - Xin Li, Yanqin Bai, Siyun Zhou, Ying Li:
Document Classification via Nonlinear Metric Learning. Neural Process. Lett. 48(3): 1335-1345 (2018) - Bo Li, Cheng Chen:
First-Order Sensitivity Analysis for Hidden Neuron Selection in Layer-Wise Training of Networks. Neural Process. Lett. 48(2): 1105-1121 (2018) - Wenyu Li, Yan Liu, Jie Yang, Wei Wu:
A New Conjugate Gradient Method with Smoothing L1/2 Regularization Based on a Modified Secant Equation for Training Neural Networks. Neural Process. Lett. 48(2): 955-978 (2018)
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