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Artificial Neural Networks – ICANN 2009

Overview of attention for book
Cover of 'Artificial Neural Networks – ICANN 2009'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems
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    Chapter 2 Kernel Learning for Local Learning Based Clustering
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    Chapter 3 Projective Nonnegative Matrix Factorization with α-Divergence
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    Chapter 4 Active Generation of Training Examples in Meta-Regression
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    Chapter 5 A Maximum-Likelihood Connectionist Model for Unsupervised Learning over Graphical Domains
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    Chapter 6 Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning
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    Chapter 7 MINLIP: Efficient Learning of Transformation Models
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    Chapter 8 Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data
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    Chapter 9 Optimal Training Sequences for Locally Recurrent Neural Networks
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    Chapter 10 Statistical Instance-Based Ensemble Pruning for Multi-class Problems
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    Chapter 11 Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes
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    Chapter 12 Mixing Different Search Biases in Evolutionary Learning Algorithms
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    Chapter 13 Semi-supervised Learning for Regression with Co-training by Committee
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    Chapter 14 An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data
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    Chapter 15 Probability-Based Distance Function for Distance-Based Classifiers
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    Chapter 16 Constrained Learning Vector Quantization or Relaxed k-Separability
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    Chapter 17 Minimization of Quadratic Binary Functional with Additive Connection Matrix
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    Chapter 18 Mutual Learning with Many Linear Perceptrons: On-Line Learning Theory
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    Chapter 19 Synchrony State Generation in Artificial Neural Networks with Stochastic Synapses
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    Chapter 20 Coexistence of Cell Assemblies and STDP
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    Chapter 21 Controlled and Automatic Processing in Animals and Machines with Application to Autonomous Vehicle Control
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    Chapter 22 Multiple Sound Source Localisation in Reverberant Environments Inspired by the Auditory Midbrain
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    Chapter 23 A Model of Neuronal Specialization Using Hebbian Policy-Gradient with “Slow” Noise
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    Chapter 24 Artificial Neural Networks – ICANN 2009
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    Chapter 25 Optimizing Generic Neural Microcircuits through Reward Modulated STDP
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    Chapter 26 Calcium Responses Model in Striatum Dependent on Timed Input Sources
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    Chapter 27 Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2
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    Chapter 28 Hippocampus, Amygdala and Basal Ganglia Based Navigation Control
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    Chapter 29 A Framework for Simulation and Analysis of Dynamically Organized Distributed Neural Networks
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    Chapter 30 Continuous Attractors of Lotka-Volterra Recurrent Neural Networks
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    Chapter 31 Learning Complex Population-Coded Sequences
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    Chapter 32 Structural Analysis on STDP Neural Networks Using Complex Network Theory
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    Chapter 33 Time Coding of Input Strength Is Intrinsic to Synapses with Short Term Plasticity
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    Chapter 34 Information Processing and Timing Mechanisms in Vision
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    Chapter 35 Review of Neuron Types in the Retina: Information Models for Neuroengineering
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    Chapter 36 Brain Electric Microstate and Perception of Simultaneously Audiovisual Presentation
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    Chapter 37 A Model for Neuronal Signal Representation by Stimulus-Dependent Receptive Fields
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    Chapter 38 Area Chip Consumption by a Novel Digital CNN Architecture for Pattern Recognition
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    Chapter 39 Multifold Acceleration of Neural Network Computations Using GPU
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    Chapter 40 Training Recurrent Neural Network Using Multistream Extended Kalman Filter on Multicore Processor and Cuda Enabled Graphic Processor Unit
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    Chapter 41 A Non-subtraction Configuration of Self-similitude Architecture for Multiple-Resolution Edge-Filtering CMOS Image Sensor
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    Chapter 42 Current-Mode Computation with Noise in a Scalable and Programmable Probabilistic Neural VLSI System
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    Chapter 43 Minimising Contrastive Divergence with Dynamic Current Mirrors
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    Chapter 44 Spiking Neural Network Self-configuration for Temporal Pattern Recognition Analysis
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    Chapter 45 Image Recognition in Analog VLSI with On-Chip Learning
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    Chapter 46 Behavior Modeling by Neural Networks
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    Chapter 47 Statistical Parameter Identification of Analog Integrated Circuit Reverse Models
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    Chapter 48 A New FGMOST Euclidean Distance Computational Circuit Based on Algebraic Mean of the Input Potentials
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    Chapter 49 FPGA Implementation of Support Vector Machines for 3D Object Identification
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    Chapter 50 Reconfigurable MAC-Based Architecture for Parallel Hardware Implementation on FPGAs of Artificial Neural Networks Using Fractional Fixed Point Representation
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    Chapter 51 A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means
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    Chapter 52 Image Theft Detection with Self-Organising Maps
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    Chapter 53 Improved Kohonen Feature Map Associative Memory with Area Representation for Sequential Analog Patterns
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    Chapter 54 Surface Reconstruction Method Based on a Growing Self-Organizing Map
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    Chapter 55 Micro-SOM: A Linear-Time Multivariate Microaggregation Algorithm Based on Self-Organizing Maps
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    Chapter 56 Identifying Clusters Using Growing Neural Gas: First Results
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    Chapter 57 Hierarchical Architecture with Modular Network SOM and Modular Reinforcement Learning
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    Chapter 58 Hybrid Systems for River Flood Forecasting Using MLP, SOM and Fuzzy Systems
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    Chapter 59 Topographic Mapping of Astronomical Light Curves via a Physically Inspired Probabilistic Model
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    Chapter 60 Generalized Self-Organizing Mixture Autoregressive Model for Modeling Financial Time Series
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    Chapter 61 Self-Organizing Map Simulations Confirm Similarity of Spatial Correlation Structure in Natural Images and Cortical Representations
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    Chapter 62 Height Defuzzification Method on L ∞ Space
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    Chapter 63 An Additive Reinforcement Learning
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    Chapter 64 Neural Spike Suppression by Adaptive Control of an Unknown Steady State
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    Chapter 65 Combined Mechanisms of Internal Model Control and Impedance Control under Force Fields
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    Chapter 66 Neural Network Control of Unknown Nonlinear Systems with Efficient Transient Performance
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    Chapter 67 High-Order Fuzzy Switching Neural Networks: Application to the Tracking Control of a Class of Uncertain SISO Nonlinear Systems
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    Chapter 68 A Guide for the Upper Bound on the Number of Continuous-Valued Hidden Nodes of a Feed-Forward Network
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    Chapter 69 Comparative Study of the CG and HBF ODEs Used in the Global Minimization of Nonconvex Functions
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    Chapter 70 On the Knowledge Organization in Concept Formation: An Exploratory Cognitive Modeling Study
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    Chapter 71 Dynamics of Incremental Learning by VSF-Network
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    Chapter 72 Kernel CMAC with Reduced Memory Complexity
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    Chapter 73 Model Complexity of Neural Networks and Integral Transforms
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    Chapter 74 Function Decomposition Network
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    Chapter 75 Improved Storage Capacity in Correlation Matrix Memories Storing Fixed Weight Codes
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    Chapter 76 Multiagent Reinforcement Learning with Spiking and Non-Spiking Agents in the Iterated Prisoner’s Dilemma
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    Chapter 77 Unsupervised Learning in Reservoir Computing: Modeling Hippocampal Place Cells for Small Mobile Robots
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    Chapter 78 Switching Hidden Markov Models for Learning of Motion Patterns in Videos
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    Chapter 79 Multimodal Belief Integration by HMM/SVM-Embedded Bayesian Network: Applications to Ambulating PC Operation by Body Motions and Brain Signals
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    Chapter 80 A Neural Network Model of Metaphor Generation with Dynamic Interaction
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    Chapter 81 Almost Random Projection Machine
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    Chapter 82 Optimized Learning Vector Quantization Classifier with an Adaptive Euclidean Distance
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    Chapter 83 Efficient Parametric Adjustment of Fuzzy Inference System Using Error Backpropagation Method
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    Chapter 84 Neuro-fuzzy Rough Classifier Ensemble
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    Chapter 85 Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset
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    Chapter 86 An Automatic Parameter Adjustment Method of Pulse Coupled Neural Network for Image Segmentation
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    Chapter 87 Pattern Identification by Committee of Potts Perceptrons
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    Chapter 88 Is Primal Better Than Dual
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    Chapter 89 A Fast BMU Search for Support Vector Machine
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    Chapter 90 European Option Pricing by Using the Support Vector Regression Approach
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    Chapter 91 Learning SVMs from Sloppily Labeled Data
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    Chapter 92 The GMM-SVM Supervector Approach for the Recognition of the Emotional Status from Speech
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    Chapter 93 A Simple Proof of the Convergence of the SMO Algorithm for Linearly Separable Problems
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    Chapter 94 Artificial Neural Networks – ICANN 2009
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    Chapter 95 Improving Text Classification Performance with Incremental Background Knowledge
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    Chapter 96 Empirical Study of the Universum SVM Learning for High-Dimensional Data
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    Chapter 97 Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection
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    Chapter 98 Understanding the Principles of Recursive Neural Networks: A Generative Approach to Tackle Model Complexity
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    Chapter 99 An EM Based Training Algorithm for Recurrent Neural Networks
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    Chapter 100 Modeling D st  with Recurrent EM Neural Networks
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    Chapter 101 On the Quantification of Dynamics in Reservoir Computing
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    Chapter 102 Solving the CLM Problem by Discrete-Time Linear Threshold Recurrent Neural Networks
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    Chapter 103 Scalable Neural Networks for Board Games
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    Chapter 104 Reservoir Size, Spectral Radius and Connectivity in Static Classification Problems
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

patent
4 patents

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Artificial Neural Networks – ICANN 2009
Published by
ADS, January 2009
DOI 10.1007/978-3-642-04274-4
ISBNs
978-3-64-204273-7, 978-3-64-204274-4
Editors

Cesare Alippi, Marios Polycarpou, Christos Panayiotou, Georgios Ellinas

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 8%
Unknown 12 92%
Readers by discipline Count As %
Earth and Planetary Sciences 1 8%
Unknown 12 92%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 September 2015.
All research outputs
#4,754,698
of 23,015,156 outputs
Outputs from ADS
#4,576
of 37,443 outputs
Outputs of similar age
#26,543
of 170,088 outputs
Outputs of similar age from ADS
#145
of 902 outputs
Altmetric has tracked 23,015,156 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,443 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 81% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 170,088 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 902 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.