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ORCID11. SBRN 2010: Sao Paulo, Brazil
- Teresa Bernarda Ludermir, Karla Figueiredo, Carlos E. Thomaz:
11th Brazilian Symposium on Neural Networks (SBRN 2010), Sao Paulo, 23-28 October, 2010. IEEE Computer Society 2010, ISBN 978-1-4244-8391-4
Learning Algorithm
- Adenilton J. da Silva
, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira:
Superposition Based Learning Algorithm. 1-6 - Vladimir Pestov:
A Note on Sample Complexity of Learning Binary Output Neural Networks under Fixed Input Distributions. 7-12 - Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Thiago F. Covoes, Eduardo R. Hruschka:
A Comparative Study on the Use of Correlation Coefficients for Redundant Feature Elimination. 13-18 - José Daniel A. Santos, Guilherme De A. Barreto, Cláudio M. S. Medeiros:
Estimating the Number of Hidden Neurons of the MLP Using Singular Value Decomposition and Principal Components Analysis: A Novel Approach. 19-24 - Milton Roberto Heinen, Paulo Martins Engel:
IPNN: An Incremental Probabilistic Neural Network for Function Approximation and Regression Tasks. 25-30
Unsupervised Learning
- Renato Fernandes Corrêa, Bruno Florencio Pinheiro:
Self-Organizing Maps Applied to Information Retrieval of Dissertations and Theses from BDTD-UFPE. 31-36 - Edson C. Kitani, Emílio Del Moral Hernandez, Carlos E. Thomaz, Leandro Augusto da Silva:
Visual Interpretation of Self Organizing Maps. 37-42 - Gabriela E. Soares, Henrique E. Borges, Rogério Martins Gomes, Geraldo Magela Couto Oliveira:
Emergence of Neuronal Groups on a Self-Organized Spiking Neurons Network Based on Genetic Algorithm. 43-48 - Tiemi C. Sakata, Katti Faceli, Marcílio Carlos Pereira de Souto, André Carlos Ponce de Leon Ferreira de Carvalho:
Improvements in the Partitions Selection Strategy for Set of Clustering Solutions. 49-54
Ensembles and Meta-learning
- Anne M. P. Canuto, Fernando Pintro, Antonino Feitosa Neto, Michael C. Fairhurst:
Enhancing Performance of Cancellable Fingerprint Biometrics Using Classifier Ensembles. 55-60 - Karliane O. Vale, Antonino Feitosa Neto, Anne M. P. Canuto, Filipe G. Dias:
Static and Dynamic Weights in Ensemble Systems Built by Class-Based Feature Selection Methods. 61-66 - Marcelo Nunes Ribeiro, Ricardo Bastos Cavalcante Prudêncio:
Local Feature Selection for Generation of Ensembles in Text Clustering. 67-72 - Jorge Y. Kanda, André Carlos Ponce de Leon Ferreira de Carvalho, Eduardo R. Hruschka, Carlos Soares:
Using Meta-learning to Classify Traveling Salesman Problems. 73-78 - Taciana A. F. Gomes, Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, André L. D. Rossi, André Carlos Ponce de Leon Ferreira de Carvalho:
Combining Meta-learning and Search Techniques to SVM Parameter Selection. 79-84
Computational Intelligence for Bioinformatics
- Ana Carolina Lorena, Newton Spolaôr, Ivan G. Costa, Marcilio C. P. de Souto:
On the Complexity of Gene Marker Selection. 85-90 - M. R. Mendoza, Adriano Velasque Werhli:
Inferring Genetic Regulatory Networks with an Hierarchical Bayesian Model and a Parallel Sampling Algorithm. 91-96 - Bilzã Araújo, Francisco Aparecido Rodrigues, Thiago C. Silva, Liang Zhao:
Identifying Abnormal Nodes in Protein-Protein Interaction Networks. 97-102 - Alcides X. Benicasa, Roseli A. F. Romero:
Localization of Salient Objects in Scenes through Visual Attention. 103-108 - Célia Ghedini Ralha, Hugo W. Schneider, Maria Emília M. T. Walter, Ana Lúcia Cetertich Bazzan:
Reinforcement Learning Method for BioAgents. 109-114
Computational Intelligence in Forecasting
- Luciano Carli Moreira de Andrade, Ivan Nunes da Silva:
Very Short-Term Load Forecasting Using a Hybrid Neuro-fuzzy Approach. 115-120 - Marilia M. F. de Oliveira, Nelson F. F. Ebecken, Jorge L. F. de Oliveira, Luis Manoel Paiva Nunes:
Artificial Neural Network for Predicting Extreme Sea Level Variation Associated with Severe Storms. 121-126 - Wilfredo Jaime Puma Villanueva, Fernando J. Von Zuben:
Evolving Arbitrarily Connected Feedforward Neural Networks via Genetic Algorithms. 127-132 - Paulo Gomide, Ruy Luiz Milidiú:
Assessing Stock Market Time Series Predictors Quality through a Pairs Trading System. 133-139
Evolutionary Multi-objective Optimization 1
- Andre B. de Carvalho, Aurora T. R. Pozo:
The Control of Dominance Area in Particle Swarm Optimization Algorithms for Many-Objective Problems. 140-145 - Newton Spolaôr, Ana Carolina Lorena, Huei Diana Lee:
Use of Multiobjective Genetic Algorithms in Feature Selection. 146-151 - Arion de Campos Jr., Aurora T. R. Pozo, Silvia Regina Vergilio, Taylor Savegnago:
Many-Objective Evolutionary Algorithms in the Composition of Web Services. 152-157 - Marcos L. P. Bueno, Gina M. B. Oliveira:
Algorithms to Augment Diversity and Convergence in Multiobjective Multicast Flow Routing. 158-163
Evolutionary Multi-objective Optimization 2
- Marsil de Athayde Costa e. Silva, Leandro dos Santos Coelho:
Biogeography-Based Optimization Combined with Predator-Prey Approach Applied to Economic Load Dispatch. 164-169 - Leonardo da C. Brito, Ciro Jasé A. Macedo, Adson Silva Rocha, Paulo Henrique Portela de Carvalho:
A Performance Analysis of Mono and Multi-objective Evolutionary Algorithms Assisted by Meta-modeling. 170-175 - Eduardo Goecking Carabetti, Sérgio Ricardo de Souza, Marcelo Caramuru Pimentel Fraga, Pedro Henrique Antonacci Gama:
An Application of the Ant Colony System Metaheuristic to the Vehicle Routing Problem with Pickup and Delivery and Time Windows. 176-181 - Patrick Marques Ciarelli, Evandro O. T. Salles, Elias Oliveira:
An Evolving System Based on Probabilistic Neural Network. 182-187
Fuzzy Systems
- Marcos Evandro Cintra, Maria Carolina Monard, Heloisa de Arruda Camargo:
An Evaluation of Rule-Based Classification Models Induced by a Fuzzy Method and Two Classic Learning Algorithms. 188-193 - Adinovam Henriques de Macedo Pimenta, Heloisa de Arruda Camargo:
Genetic Interval Type-2 Fuzzy Classifier Generation: A Comparative Approach. 194-199 - Marcos Eduardo Valle:
A New Class of Implicative Fuzzy Associative Memories for the Reconstruction of Gray-Scale Images Corrupted by Salt and Pepper Noise. 200-205
Adaptive Intelligent Control and Its Applications
- Marconi Câmara Rodrigues, Fábio Meneghetti Ugulino de Araújo, André Laurindo Maitelli:
Multiple-Model Identification Using ANFIS for Nonlinear Systems. 206-211 - Anthony A. R. Diniz, Paulo R. M. Pires, Jorge Dantas de Melo, Adrião Duarte Dória Neto, Armando J. J. L. Filho, Sérgio M. Kanazava:
Reinforcement Learning for Controlling a Coupled Tank System Based on the Scheduling of Different Controllers. 212-216 - Helder K. Shimo, Antônio Carlos Roque-da-Silva, Renato Tinós, Julian Tejada, Silvio Morato:
Use of Evolutionary Robots as an Auxiliary Tool for Developing Behavioral Models of Rats in an Elevated Plus-Maze. 217-222 - Renato Tinós, Shengxiang Yang:
Evolution Strategies with q-Gaussian Mutation for Dynamic Optimization Problems. 223-228 - Daniel Cavalcanti Jeronymo, Yuri Cássio Campbell Borges, Leandro dos Santos Coelho:
Clonal Selection Algorithm with Oppositional Approach Applied to Trajectory Planning of a Robotic Manipulator. 229-234
Hybrid Intelligent Systems
- Matheus Rosendo, Aurora T. R. Pozo:
Applying a Discrete Particle Swarm Optimization Algorithm to Combinatorial Problems. 235-240 - Omar Andrés Carmona Cortes, Josenildo Costa da Silva:
A Local Search Algorithm Based on Clonal Selection and Genetic Mutation for Global Optimization. 241-246 - Ivna Valença, Teresa Bernarda Ludermir, Mêuser Jorge Silva Valença:
Hybrid Systems to Select Variables for Time Series Forecasting Using MLP and Search Algorithms. 247-252 - Ricardo Cerri, André Carlos Ponce de Leon Ferreira de Carvalho:
Hierarchical Multilabel Classification Using Top-Down Label Combination and Artificial Neural Networks. 253-258 - Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir:
A Weightless Neural Node Based on a Probabilistic Quantum Memory. 259-264
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