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Neural Information Processing

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Cover of 'Neural Information Processing'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Centroid Neural Network with Simulated Annealing and Its Application to Color Image Segmentation
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    Chapter 2 Efficient Non-linear Filter for Impulse Noise Removal in Document Images
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    Chapter 3 Evolving Flexible Beta Operator Neural Trees (FBONT) for Time Series Forecasting
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    Chapter 4 Nonparametric Localized Feature Selection via a Dirichlet Process Mixture of Generalized Dirichlet Distributions
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    Chapter 5 Generalized Agglomerative Fuzzy Clustering
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    Chapter 6 A Novel Self-Adaptive Clustering Algorithm for Dynamic Data
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    Chapter 7 Impulsive Synchronization of State Delayed Discrete Complex Networks with Switching Topology
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    Chapter 8 Salient Instance Selection for Multiple-Instance Learning
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    Chapter 9 Motivating Retail Marketing Efforts under Fairness Concerns in Small-World Networks: A Multi-agent Simulation
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    Chapter 10 Application of Variational Granularity Language Sets in Interactive Genetic Algorithms
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    Chapter 11 Linked PARAFAC/CP Tensor Decomposition and Its Fast Implementation for Multi-block Tensor Analysis
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    Chapter 12 Neural Information Processing
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    Chapter 13 A STPHD-Based Multi-sensor Fusion Method
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    Chapter 14 Group Sparse Inverse Covariance Selection with a Dual Augmented Lagrangian Method
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    Chapter 15 Multiple Outlooks Learning with Support Vector Machines
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    Chapter 16 Multi-Task Learning Using Shared and Task Specific Information
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    Chapter 17 Learning Attentive Fusion of Multiple Bayesian Network Classifiers
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    Chapter 18 Multiclass Penalized Likelihood Pattern Classification Algorithm
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    Chapter 19 Self-Organising Maps for Classification with Metropolis-Hastings Algorithm for Supervision
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    Chapter 20 Decoupled 2-D DOA Estimation Algorithm Based on Cross-Correlation Matrix for Coherently Distributed Source
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    Chapter 21 Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations
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    Chapter 22 A New Approach for a Priori Client Threshold Estimation in Biometric Signature Recognition Based on Multiple Linear Regression
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    Chapter 23 Neural Information Processing
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    Chapter 24 Neural Information Processing
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    Chapter 25 A Basic Study on Particle Swarm Optimization Based on Chaotic Spike Oscillator Dynamics
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    Chapter 26 On the Objective Function and Learning Algorithm for Concurrent Open Node Fault
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    Chapter 27 Evolutionary Extreme Learning Machine for Ordinal Regression
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    Chapter 28 Biclustering and Subspace Learning with Regularization for Financial Risk Analysis
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    Chapter 29 Emotion Understanding in Movie Clips Based on EEG Signal Analysis
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    Chapter 30 A Distributed Q-Learning Approach for Variable Attention to Multiple Critics
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    Chapter 31 A Hybrid Approach for Adaptive Car Navigation
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    Chapter 32 Low Complexity Classification System for Glove-Based Arabic Sign Language Recognition
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    Chapter 33 Transductive Cartoon Retrieval by Multiple Hypergraph Learning
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    Chapter 34 Adaptive Multiplicative Updates for Projective Nonnegative Matrix Factorization
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    Chapter 35 Online Projective Nonnegative Matrix Factorization for Large Datasets
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    Chapter 36 Optimization of Fuzzy Systems Using Group-Based Evolutionary Algorithm
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    Chapter 37 Gabor-Based Novel Local, Shape and Color Features for Image Classification
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    Chapter 38 A Hybrid KNN-Ant Colony Optimization Algorithm for Prototype Selection
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    Chapter 39 Neural Information Processing
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    Chapter 40 A Contextual-Bandit Algorithm for Mobile Context-Aware Recommender System
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    Chapter 41 Multi-source Transfer Learning with Multi-view Adaboost
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    Chapter 42 Semi-supervised Multitask Learning via Self-training and Maximum Entropy Discrimination
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    Chapter 43 Tracking Property of UMDA in Dynamic Environment by Landscape Framework
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    Chapter 44 Computation of Joint Spectral Radius for Network Model Associated with Rank-One Matrix Set
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    Chapter 45 Novelty Detection Using a New Group Outlier Factor
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    Chapter 46 Hierarchical K-Means Algorithm for Modeling Visual Area V2 Neurons
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    Chapter 47 Feature Selection for Unsupervised Learning
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    Chapter 48 Recursive Similarity-Based Algorithm for Deep Learning
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    Chapter 49 A Fast Edge-Directed Interpolation Algorithm
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    Chapter 50 Neural Information Processing
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    Chapter 51 Modeling Post-training Memory Transfer in Cerebellar Motor Learning
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    Chapter 52 Surface-Based Construction of Curvature Selectivity from the Integration of Local Orientations
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    Chapter 53 Neural Information Processing
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    Chapter 54 Neural Information Processing
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    Chapter 55 Constrained Multi-objective Optimization Using a Quantum Behaved Particle Swarm
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    Chapter 56 Learning from Positive and Unlabelled Examples Using Maximum Margin Clustering
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    Chapter 57 Novel Robust Stability Criteria for Stochastic Hopfield Neural Network with Time-Varying Delays
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    Chapter 58 RST-DCA: A Dendritic Cell Algorithm Based on Rough Set Theory
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    Chapter 59 A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking
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    Chapter 60 Modified Particle Swarm Optimization for Pattern Clustering
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    Chapter 61 A Weighted Learning Vector Quantization Approach for Interval Data
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    Chapter 62 A Genetic Algorithm Solution for the Operation of Green LTE Networks with Energy and Environment Considerations
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    Chapter 63 Robust Hypersurface Fitting Based on Random Sampling Approximations
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    Chapter 64 Manifold Regularized Multi-Task Learning
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    Chapter 65 Cooperative Behavior Acquisition in Multi-agent Reinforcement Learning System Using Attention Degree
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    Chapter 66 Basic Study on Particle Swarm Optimization with Hierarchical Structure for Constrained Optimization Problems
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    Chapter 67 A New Probabilistic Approach to Independent Component Analysis Suitable for On-Line Learning in Artificial Neural Networks
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    Chapter 68 Immune Algorithm for Bitmap Join Indexes
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    Chapter 69 Data Driven System Identification Using Evolutionary Algorithms
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    Chapter 70 A Possibilistic Density Based Clustering for Discovering Clusters of Arbitrary Shapes and Densities in High Dimensional Data
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    Chapter 71 A Knowledge-Driven Bi-clustering Method for Mining Noisy Datasets
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    Chapter 72 Robust Active Learning for Linear Regression via Density Power Divergence
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    Chapter 73 Adaptive Probabilistic Policy Reuse
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    Chapter 74 Adaptive Classifier Selection in Large-Scale Hierarchical Classification
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    Chapter 75 Neural Information Processing
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    Chapter 76 Neural Information Processing
  78. Altmetric Badge
    Chapter 77 On the Application of Bio-inspired Algorithms in Timetabling Problem
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    Chapter 78 A Bio Inspired Estimation of Distribution Algorithm for Global Optimization
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    Chapter 79 Managing Qualitative Preferences with Constraints
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    Chapter 80 A Bio Inspired Fuzzy K-Modes Clustring Algorithm
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    Chapter 81 Evaluating SPAN Incremental Learning for Handwritten Digit Recognition
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    Chapter 82 DPSO Based on Random Particle Priority Value and Decomposition Procedure as a Searching Strategy for the Evacuation Vehicle Routing Problem
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    Chapter 83 A Quantum-Inspired Evolutionary Algorithm for Optimization Numerical Problems
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    Chapter 84 Are You a Social Conformer?
  86. Altmetric Badge
    Chapter 85 Canonical Duality Theory and Algorithm for Solving Challenging Problems in Network Optimisation
Attention for Chapter 40: A Contextual-Bandit Algorithm for Mobile Context-Aware Recommender System
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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)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

patent
1 patent
wikipedia
2 Wikipedia pages

Citations

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4 Dimensions

Readers on

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96 Mendeley
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Chapter title
A Contextual-Bandit Algorithm for Mobile Context-Aware Recommender System
Chapter number 40
Book title
Neural Information Processing
Published in
Lecture notes in computer science, November 2012
DOI 10.1007/978-3-642-34487-9_40
Book ISBNs
978-3-64-234486-2, 978-3-64-234487-9
Authors

Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gançarski, Bouneffouf, Djallel, Bouzeghoub, Amel, Gançarski, Alda Lopes

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
Pakistan 1 1%
Brazil 1 1%
Canada 1 1%
Iran, Islamic Republic of 1 1%
Denmark 1 1%
Korea, Republic of 1 1%
Spain 1 1%
Unknown 88 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 26%
Student > Master 23 24%
Researcher 11 11%
Student > Bachelor 9 9%
Other 4 4%
Other 11 11%
Unknown 13 14%
Readers by discipline Count As %
Computer Science 67 70%
Engineering 4 4%
Business, Management and Accounting 3 3%
Neuroscience 2 2%
Economics, Econometrics and Finance 1 1%
Other 5 5%
Unknown 14 15%
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 30 January 2023.
All research outputs
#4,811,925
of 23,230,825 outputs
Outputs from Lecture notes in computer science
#1,579
of 8,155 outputs
Outputs of similar age
#35,537
of 180,911 outputs
Outputs of similar age from Lecture notes in computer science
#6
of 61 outputs
Altmetric has tracked 23,230,825 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 8,155 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 79% 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 180,911 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 61 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.