The 2011 International Joint Conference on Neural Networks, IJCNN 2011, San Jose, California, USA, July 31 - August 5, 2011.
IEEE 2011, ISBN 978-1-4244-9635-8
Amar Saric, Jing Xiao: Efficient Levenberg-Marquardt minimization of the cross-entropy error function.
1-8
D. Randall Wilson: Beyond probabilistic record linkage: Using neural networks and complex features to improve genealogical record linkage.
9-14
Zheng Yan, Jun Wang: Robust model predictive control of nonlinear affine systems based on a two-layer recurrent neural network.
24-29
Xia Hong, Yu Gong, Sheng Chen: B-spline neural network based digital baseband predistorter solution using the inverse of De Boor algorithm.
30-36
James Ting-Ho Lo: A low-order model of biological neural networks for hierarchical or temporal pattern clustering, detection and recognition.
37-44
Thiago C. Silva, Liang Zhao: Network-based learning through particle competition for data clustering.
45-52
Derong Liu, Ding Wang, Dongbin Zhao: Neural-network-based optimal control for a class of nonlinear cdiscrete-time systems with control constraints using the citerative GDHP algorithm.
53-60
Qinglai Wei, Derong Liu: Optimal control for discrete-time nonlinear systems with unfixed initial state using adaptive dynamic programming.
61-67
Lijun Wang, Ming Dong: On the clustering of large-scale data: A matrix-based approach.
139-144
Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow: ITR-Score algorithm: An efficient Trace ratio criterion based algorithm for supervised dimensionality reduction.
145-152
Junbin Gao: Multi-task beta process sparse kernel machines.
153-158
Sébastien Hélie, Ron Sun: How the core theory of CLARION captures human decision-making.
173-180
Eftim Zdravevski, Petre Lameski, Andrea Kulakov: Weight of evidence as a tool for attribute transformation in the preprocessing stage of supervised learning algorithms.
181-188
Piyabute Fuangkhon, Thitipong Tanprasert: An Outpost Vector placement evaluation of an incremental learning algorithm for Support Vector Machine.
254-261
Tamás Krisztin, Matthias Koch: Agent teams and evolutionary computation: Optimizing semi-parametric spatial autoregressive models.
262-266
Marcos Eduardo Valle, Daniela Maria Grande Vicente: Some experimental results on sparsely connected autoassociative morphological memories for the reconstruction of color images corrupted by either impulsive or Gaussian noise.
275-282
Alexis Bondu, Marc Boullé: A supervised approach for change detection in data streams.
519-526
Alexander Mehler, Andy Lücking, Peter Menke: From neural activation to symbolic alignment: A network-based approach to the formation of dialogue lexica.
527-536
Joshua G. Hughes, George G. Lendaris: Explorations on system identification via higher-level application of Adaptive-Critic Approximate Dynamic Programming.
640-647
Pitoyo Hartono: Ensemble of perceptrons with confidence measure for piecewise linear decomposition.
648-653
Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan: Simultaneous learning of several Bayesian and Mahalanobis discriminant functions by a neural network with additional nodes.
733-740
Takashi Matsubara, Hiroyuki Torikai: A novel asynchronous digital spiking neuron model and its various neuron-like bifurcations and responses.
741-748
Zhitang Chen, Laiwan Chan: New approaches for solving permutation indeterminacy and scaling ambiguity in frequency domain separation of convolved mixtures.
911-918
Sungmoon Jeong, Minho Lee: Incremental object classification using hierarchical generative Gaussian mixture and topology based feature representation.
925-932
Katsutoshi Miyahara, Masaru Kuroiwa, Gang Wang: A statistical parametric method for the extraction of stimulus dependent activity from intrinsic optical signals.
933-936
Richard C. Windecker: Stochastic Artificial Neural Networks and random walks.
1134-1140
Vladimir Pestov: PAC learnability versus VC dimension: A footnote to a basic result of statistical learning.
1141-1145
Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris: On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems.
1146-1153
A. Ravishankar Rao, Guillermo A. Cecchi: The effects of feedback and lateral connections on perceptual processing: A study using oscillatory networks.
1177-1184
Baohua Li, Jennie Si: Belief function model for reliable optimal set estimation of transition matrices in discounted infinite-horizon Markov decision processes.
1214-1221
Jindong Liu, Harry R. Erwin, Guang-Zhong Yang: Attention driven computational model of the auditory midbrain for sound localization in reverberant environments.
1251-1258
Daniela Sánchez, Patricia Melin, Oscar Castillo: Hierarchical genetic optimization of modular neural networks and their type-2 fuzzy response integrators for human recognition based on multimodal biometry.
1267-1274
Alexandre Pitti, Yasuo Kuniyoshi: Modeling the cholinergic innervation in the infant cortico-hippocampal system and its contribution to early memory development and attention.
1409-1416
Nathan Rose: Selective adjustment of rotationally-asymmetric neuron σ-widths.
1429-1436
Tao Zhou, Piotr Dudek, Bertram E. Shi: Self-Organizing Neural Population Coding for improving robotic visuomotor coordination.
1437-1444
Katsunari Shibata, Hiroki Utsunomiya: Discovery of pattern meaning from delayed rewards by reinforcement learning with a recurrent neural network.
1445-1452
Sergey Tarasenko: A general framework for development of the cortex-like visual object recognition system: Waves of spikes, predictive coding and universal dictionary of features.
1515-1522
Keiji Tatsumi, Masato Tai, Tetsuzo Tanino: Nonlinear extension of multiobjective multiclass support vector machine based on the one-against-all method.
1570-1576
Juri Belikov, Eduard Petlenkov: Neuro-fuzzy dynamic pole placement control of nonlinear discrete-time systems.
1577-1582
Si-Yao Fu, Guosheng Yang, Zeng-Guang Hou: Spiking neural networks based cortex like mechanism: A case study for facial expression recognition.
1637-1642
Takayuki Kimura, Tohru Ikeguchi: Chaotic routing strategy with load-balanced effects for communication networks.
1643-1650
Nam H. Nguyen, Martin Hagan: Stability analysis of layered digital dynamic networks using dissipativity theory.
1692-1699
Yili Xia, Scott C. Douglas, Danilo P. Mandic: Widely linear adaptive frequency estimation in three-phase power systems under unbalanced voltage sag conditions.
1700-1705
Qinru Qiu, Qing Wu, Richard W. Linderman: Unified perception-prediction model for context aware text recognition on a heterogeneous many-core platform.
1714-1721
Nian Zhang, Shuhua Lai: Water quantity prediction based on particle swarm optimization and evolutionary algorithm using recurrent neural networks.
2172-2176
Mary Malliaris, Maria Pappas: Hospital foundation actions: Neural network model variable importance.
2177-2183
Hyung-Ook Park, Alireza A. Dibazar, Theodore W. Berger: Discrete Synapse Recurrent Neural Network with time-varying delays for nonlinear system modeling and its application on seismic signal classification.
2374-2381
Sundaram Suresh, Kartick Subramanian: A sequential learning algorithm for meta-cognitive neuro-fuzzy inference system for classification problems.
2507-2512
