| Description |
1 online resource (xxi, 390 pages) |
| Series |
Lecture notes in computer science ; 6791 |
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LNCS sublibrary. SL 1, Theoretical computer science and general issues |
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Lecture notes in computer science ; 6791
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LNCS sublibrary. SL 1, Theoretical computer science and general issues
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| Contents |
Machine generated contents note: Transformation Equivariant Boltzmann Machines / Christopher K.I. Williams -- Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines / Tapani Raiko -- Hierarchical Generative Model of Recurrent Object-Based Attention in the Visual Cortex / Amos J. Storkey -- 11-Penalized Linear Mixed-Effects Models for BCI / Klaus Robert Muller -- Slow Feature Analysis -- A Tool for Extraction of Discriminating Event-Related Potentials in Brain-Computer Interfaces / Michael Tangermann -- Transforming Auto-Encoders / Sida D. Wang -- Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction / Jurgen Schmidhuber -- Error-Backpropagation in Networks of Fractionally Predictive Spiking Neurons / Sander M. Bohte -- ESN Intrinsic Plasticity versus Reservoir Stability / Guenther Palm -- Adaptive Routing Strategies for Large Scale Spiking Neural Network Hardware Implementations / Fearghal Morgan -- Self-Organizing Map for the Multi-Goal Path Planning with Polygonal Goals / Libor Preucil -- Unlearning in the BCM Learning Rule for Plastic Self-organization in a Multi-modal Architecture / Bernard Girau -- Neuronal Projections Can Be Sharpened by a Biologically Plausible Learning Mechanism / Christoph Krautz -- Explicit Class Structure by Weighted Cooperative Learning / Ryotaro Kamimura -- Unsupervized Data-Driven Partitioning of Multiclass Problems / Pablo M. Granitto -- Bounds for Approximate Solutions of Fredholm Integral Equations Using Kernel Networks / Marcello Sanguineti -- Improved Training Algorithm for the Linear Ranking Support Vector Machine / Tapio Salakoski -- Extending Tree Kernels with Topological Information / Alessandro Sperduti -- Accelerating Kernel Neural Gas / Barbara Hammer -- State Prediction: A Constructive Method to Program Recurrent Neural Networks / Jochen Jakob Steil |
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Note continued: Cluster Self-organization of Known and Unknown Environmental Sounds Using Recurrent Neural Network / Tetsuya Ogata -- Time-Dependent Series Variance Estimation via Recurrent Neural Networks / Evgueni Smirnov -- Historical Consistent Complex Valued Recurrent Neural Network / Victoria Kusherbaeva -- Sparse Spatio-Temporal Gaussian Processes with General Likelihoods / Simo Sarkka -- Learning Curves for Gaussian Processes via Numerical Cubature Integration / Simo Sarkka -- Cross-Species Translation of Multi-way Biomarkers / Samuel Kaski -- Evaluation of the Image Recognition Method Using Pulse Coupled Neural Network / Hiroaki Kurokawa -- Using the Leader Algorithm with Support Vector Machines for Large Data Sets / Enrique Romero -- Automatic Seizure Detection Incorporating Structural Information / Sabine Van Huffel -- Grouped Author-Topic Model for Unsupervised Entity Resolution / Amos J. Storkey -- Kullback-Leibler Divergence for Nonnegative Matrix Factorization / Erkki Oja -- Distributed Deterministic Temporal Information Propagated by Feedforward Neural Networks / Alessandro E.P. Villa -- Chaotic Complex-Valued Multidirectional Associative Memory with Variable Scaling Factor / Yuko Osana -- Predicting Reaction Times in Word Recognition by Unsupervised Learning of Morphology / Krista Lagus -- Examination of the Dynamic Interaction within Metaphor Understanding Using a Model Simulation / Masanori Nakagawa -- Visual Pathways for Shape Abstraction / Stefanos D. Kollias -- Improving Articulatory Feature and Phoneme Recognition Using Multitask Learning / Mathew Magimai-Doss -- OrBEAGLE: Integrating Orthography into a Holographic Model of the Lexicon / Michael N. Jones -- On the Problem of Finding the Least Number of Features by L1-Norm Minimisation / Thomas Martinetz -- Extracting Coactivated Features from Multiple Data Sets / Aapo Hyvarinen |
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Note continued: Single Layer Complex Valued Neural Network with Entropic Cost Function / Luis A. Alexandre -- Batch Intrinsic Plasticity for Extreme Learning Machines / Jochen J. Steil -- Empirical Study on the Performance of Spectral Manifold Learning Techniques / Kim Steenstrup Pedersen -- Semi-supervised Learning for WLAN Positioning / Petri Myllymaki -- Ensemble-Teacher Learning through a Perceptron Rule with a Margin / Seiji Miyoshi -- Topic-Dependent Document Ranking: Citation Network Analysis by Analogy to Memory Retrieval in the Brain / Hiroshi Okamoto -- PADDLE: Proximal Algorithm for Dual Dictionaries LEarning / Silvia Villa |
| Summary |
This two volume set (LNCS 6791 and LNCS 6792) constitutes the refereed proceedings of the 21th International Conference on Artificial Neural Networks, ICANN 2011, held in Espoo, Finland, in June 2011. The 106 revised full or poster papers presented were carefully reviewed and selected from numerous submissions. ICANN 2011 had two basic tracks: brain-inspired computing and machine learning research, with strong cross-disciplinary interactions and applications |
| Bibliography |
Includes bibliographical references and author index |
| Notes |
Print version record |
| In |
Springer eBooks |
| Subject |
Neural networks (Computer science) -- Congresses
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Machine learning -- Congresses
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Artificial intelligence.
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Artificial Intelligence
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Electronic Data Processing
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Software
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artificial intelligence.
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software.
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Informatique.
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Machine learning
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Neural networks (Computer science)
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Honkela, Timo
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| ISBN |
9783642217357 |
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3642217354 |
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3642217346 |
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9783642217340 |
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