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22. ICANN 2012: Lausanne, Switzerland
- Alessandro E. P. Villa
, Wlodzislaw Duch, Péter Érdi, Francesco Masulli, Günther Palm:
Artificial Neural Networks and Machine Learning - ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II. Lecture Notes in Computer Science 7553, Springer 2012, ISBN 978-3-642-33265-4
Multilayer Perceptrons and Kernel Networks (A6)
- Shinya Suzumura, Ryohei Nakano:
Complex-Valued Multilayer Perceptron Search Utilizing Eigen Vector Descent and Reducibility Mapping. 1-8 - Kazuyuki Hara, Kentaro Katahira, Kazuo Okanoya, Masato Okada:
Theoretical Analysis of Function of Derivative Term in On-Line Gradient Descent Learning. 9-16 - Vera Kurková
Some Comparisons of Networks with Radial and Kernel Units. 17-24 - Geraldina Ribeiro, Wouter Duivesteijn, Carlos Soares
Multilayer Perceptron for Label Ranking. 25-32 - Irena Koprinska
Electricity Load Forecasting: A Weekday-Based Approach. 33-41
Training and Learning (C4)
- Michel Tokic, Günther Palm:
Adaptive Exploration Using Stochastic Neurons. 42-49 - Frank-Florian Steege, Horst-Michael Groß:
Comparison of Long-Term Adaptivity for Neural Networks. 50-57 - Franck Mamalet, Christophe Garcia
Simplifying ConvNets for Fast Learning. 58-65 - João Fausto Lorenzato de Oliveira
A Modified Artificial Fish Swarm Algorithm for the Optimization of Extreme Learning Machines. 66-73 - (Withdrawn) Robust Training of Feedforward Neural Networks Using Combined Online/Batch Quasi-Newton Techniques. 74-83
- Erratum: Robust Training of Feedforward Neural Networks Using Combined Online/Batch Quasi-Newton Techniques.
- Doris Entner, Patrik O. Hoyer:
Estimating a Causal Order among Groups of Variables in Linear Models. 84-91 - Philemon Brakel, Sander Dieleman, Benjamin Schrauwen:
Training Restricted Boltzmann Machines with Multi-tempering: Harnessing Parallelization. 92-99 - Luiz C. B. Torres, Cristiano Leite Castro
A Computational Geometry Approach for Pareto-Optimal Selection of Neural Networks. 100-107 - Yohannes Kassahun, Hendrik Wöhrle, Alexander Fabisch
Learning Parameters of Linear Models in Compressed Parameter Space. 108-115 - Daichi Nakano, Shin-ichi Maeda, Shin Ishii
Control of a Free-Falling Cat by Policy-Based Reinforcement Learning. 116-123 - Tele Hao, Tapani Raiko, Alexander Ilin, Juha Karhunen:
Gated Boltzmann Machine in Texture Modeling. 124-131 - Pavel Krömer
Neural PCA and Maximum Likelihood Hebbian Learning on the GPU. 132-139
Inference and Recognition (C5)
- Marta Díez-Fernández, Sergio Alvarez Teleña, Denise Gorse:
Construction of Emerging Markets Exchange Traded Funds Using Multiobjective Particle Swarm Optimisation. 140-147 - André R. Gonçalves
The Influence of Supervised Clustering for RBFNN Centers Definition: A Comparative Study. 148-155 - Alessandro Ghio, Davide Anguita
Nested Sequential Minimal Optimization for Support Vector Machines. 156-163 - Carlos Alberto de Araújo Padilha, Adrião Duarte Dória Neto, Jorge Dantas de Melo:
Random Subspace Method and Genetic Algorithm Applied to a LS-SVM Ensemble. 164-171 - Khaoula Elagouni, Christophe Garcia
Text Recognition in Videos Using a Recurrent Connectionist Approach. 172-179 - Isaac de L. Oliveira Filho, Benjamín R. C. Bedregal, Anne M. P. Canuto:
An Investigation of Ensemble Systems Applied to Encrypted and Cancellable Biometric Data. 180-188 - Nabiha Azizi
New Dynamic Classifiers Selection Approach for Handwritten Recognition. 189-196 - Vladimir Kryzhanovsky, Irina Zhelavskaya
Vector Perceptron Learning Algorithm Using Linear Programming. 197-204 - Yoshitatsu Matsuda, Kazunori Yamaguchi
A Robust Objective Function of Joint Approximate Diagonalization. 205-212 - Jong-Seok Lee:
TrueSkill-Based Pairwise Coupling for Multi-class Classification. 213-220 - Sergio Varona-Moya, Pedro L. Cobos
Analogical Inferences in the Family Trees Task: A Review. 221-228 - Renata F. P. Neves, Cleber Zanchettin
An Efficient Way of Combining SVMs for Handwritten Digit Recognition. 229-237 - Ana Isabel Rodrigues Gouveia, Coert Metz, Luis Freire
Comparative Evaluation of Regression Methods for 3D-2D Image Registration. 238-245 - Byron Leite Dantas Bezerra
A MDRNN-SVM Hybrid Model for Cursive Offline Handwriting Recognition. 246-254 - Marcin Blachnik
Extraction of Prototype-Based Threshold Rules Using Neural Training Procedure. 255-262 - Miroslaw Kordos, Marcin Blachnik
Instance Selection with Neural Networks for Regression Problems. 263-270 - Alberto Muñoz
A New Distance for Probability Measures Based on the Estimation of Level Sets. 271-278 - Matthew D. Luciw, Jürgen Schmidhuber:
Low Complexity Proto-Value Function Learning from Sensory Observations with Incremental Slow Feature Analysis. 279-287 - Khobaib Zaamout, John Z. Zhang:
Improving Neural Networks Classification through Chaining. 288-295 - Marcin Blachnik
Feature Ranking Methods Used for Selection of Prototypes. 296-304 - Cesare Alippi, Manuel Roveri
A "Learning from Models" Cognitive Fault Diagnosis System. 305-313
Support Vector Machines (A5)
- Cristiano Leite Castro
Improving ANNs Performance on Unbalanced Data with an AUC-Based Learning Algorithm. 314-321 - Shereen Fouad
Learning Using Privileged Information in Prototype Based Models. 322-329 - Naimul Mefraz Khan, Riadh Ksantini, Imran Shafiq Ahmad, Ling Guan:
A Sparse Support Vector Machine Classifier with Nonparametric Discriminants. 330-338 - Shigeo Abe
Training Mahalanobis Kernels by Linear Programming. 339-346
Self-Organizing Maps and Clustering (A8)
- Tolga Ensari, Jan Chorowski
Correntropy-Based Document Clustering via Nonnegative Matrix Factorization. 347-354 - Edson Caoru Kitani, Emilio Del-Moral-Hernandez, Leandro Augusto da Silva:
SOMM - Self-Organized Manifold Mapping. 355-362 - Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah:
Self-Organizing Map and Tree Topology for Graph Summarization. 363-370 - Hiroki Sato, Yuko Osana:
Variable-Sized Kohonen Feature Map Probabilistic Associative Memory. 371-378 - Roberto Calandra
Learning Deep Belief Networks from Non-stationary Streams. 379-386 - Ryotaro Kamimura:
Separation and Unification of Individuality and Collectivity and Its Application to Explicit Class Structure in Self-Organizing Maps. 387-394
Clustering, Mining and Exploratory Analysis (C6)
- Nikolaos Gianniotis
Autoencoding Ground Motion Data for Visualisation. 395-402 - Asuka Terai, Keiga Abe, Masanori Nakagawa:
Examining an Evaluation Mechanism of Metaphor Generation with Experiments and Computational Model Simulation. 403-410 - He Zhang, Tele Hao, Zhirong Yang
Pairwise Clustering with t-PLSI. 411-418 - Zhiyun Lu, Zhirong Yang
Selecting β-Divergence for Nonnegative Matrix Factorization by Score Matching. 419-426 - Ekaterina Komendantskaya, Kacper Lichota:
Neural Networks for Proof-Pattern Recognition. 427-434 - Bruno Almeida Pimentel, Jarley Palmeira Nóbrega, Renata M. C. R. de Souza:
Using Weighted Clustering and Symbolic Data to Evaluate Institutes's Scientific Production. 435-442 - Sergey Dolenko
Comparison of Input Data Compression Methods in Neural Network Solution of Inverse Problem in Laser Raman Spectroscopy of Natural Waters. 443-450 - João C. Xavier Junior, Anne M. P. Canuto, Luiz M. G. Gonçalves
New Approach for Clustering Relational Data Based on Relationship and Attribute Information. 451-458 - Daniel de Araújo, Adrião Duarte Dória Neto, Allan de Medeiros Martins
Comparative Study on Information Theoretic Clustering and Classical Clustering Algorithms. 459-466 - Timo Honkela, Zaur Izzatdust, Krista Lagus:
Text Mining for Wellbeing: Selecting Stories Using Semantic and Pragmatic Features. 467-474 - Juha Raitio, Tapani Raiko, Timo Honkela:
Hybrid Bilinear and Trilinear Models for Exploratory Analysis of Three-Way Poisson Counts. 475-482 - Jan K. Woike
Estimating Quantities: Comparing Simple Heuristics and Machine Learning Algorithms. 483-490
Bioinformatics (A2)
- Luca Oneto
Rademacher Complexity and Structural Risk Minimization: An Application to Human Gene Expression Datasets. 491-498 - Alpa Shah, Gary P. Moss, Yi Sun, Rod Adams, Neil Davey, Simon C. Wilkinson:
Using a Support Vector Machine and Sampling to Classify Compounds as Potential Transdermal Enhancers. 499-506 - Yi Sun, Marc B. Brown
The Application of Gaussian Processes in the Predictions of Permeability across Mammalian Membranes. 507-514 - Virginio Cantoni, Alessio Ferone, Ozlem Ozbudak, Alfredo Petrosino:
Protein Structural Blocks Representation and Search through Unsupervised NN. 515-522
Time Series and Forecasting (C7)
- Paulo Cortez
Evolutionary Support Vector Machines for Time Series Forecasting. 523-530 - Frank-Michael Schleif
Learning Relevant Time Points for Time-Series Data in the Life Sciences. 531-539 - Henry Schütze, Thomas Martinetz, Silke Anders, Amir Madany Mamlouk:
A Multivariate Approach to Estimate Complexity of FMRI Time Series. 540-547 - Pierrick Bruneau
Neural Architectures for Global Solar Irradiation and Air Temperature Prediction. 548-556 - Carlos M. Alaíz
Sparse Linear Wind Farm Energy Forecast. 557-564 - Ángela Fernández Pascual
Diffusion Maps and Local Models for Wind Power Prediction. 565-572 - Ricardo de A. Araújo, Adriano L. I. Oliveira
A Hybrid Model for S&P500 Index Forecasting. 573-581
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