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Artificial Neural Networks and Machine Learning – ICANN 2012 (Record no. 14376)

000 -LEADER
fixed length control field 08464nam a22005655i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310144110.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 120919s2012 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642332661
978-3-642-33266-1
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
Classification number TJ210.2-211.495
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2012.
912 ## -
-- ZDB-2-SCS
-- ZDB-2-LNC
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Villa, Alessandro E.
Relator term editor.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Artificial Neural Networks and Machine Learning – ICANN 2012
Medium [electronic resource] :
Remainder of title 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II /
Statement of responsibility, etc edited by Alessandro E. Villa, Włodzisław Duch, Péter Érdi, Francesco Masulli, Günther Palm.
300 ## - PHYSICAL DESCRIPTION
Extent XXVII, 587 p. 172 illus.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Lecture Notes in Computer Science,
International Standard Serial Number 0302-9743 ;
Volume number/sequential designation 7553
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Complex-Valued Multilayer Perceptron Search Utilizing Eigen Vector Descent and Reducibility -- Theoretical Analysis of Function of Derivative Term in On-Line Gradient Descent Learning -- Some Comparisons of Networks with Radial and Kernel -- Multilayer Perceptron for Label Ranking -- Electricity Load Forecasting: A Weekday-Based -- Adaptive Exploration Using Stochastic Neurons -- Comparison of Long-Term Adaptivity for Neural Networks -- Simplifying ConvNets for Fast Learning -- A Modified Artificial Fish Swarm Algorithm for the Optimization of Extreme Learning Machines -- Robust Training of Feedforward Neural Networks Using Combined Online/Batch Quasi-Newton Techniques -- Estimating a Causal Order among Groups of Variables in Linear Models -- Training Restricted Boltzmann Machines with Multi-tempering: Harnessing Parallelization -- A Computational Geometry Approach for Pareto-Optimal Selection of Neural Networks -- Learning Parameters of Linear Models in Compressed Parameter Space -- Control of a Free-Falling Cat by Policy-Based Reinforcement Learning -- Gated Boltzmann Machine in Texture Modeling -- Neural PCA and Maximum Likelihood Hebbian Learning on the GPU -- Construction of Emerging Markets Exchange Traded Funds Using Multiobjective Particle Swarm Optimisation -- The Influence of Supervised Clustering for RBFNN Centers Definition: A Comparative Study -- Nested Sequential Minimal Optimization for Support Vector Machines -- Random Subspace Method and Genetic Algorithm Applied to a LS-SVM Ensemble -- Text Recognition in Videos Using a Recurrent Connectionist Approach -- An Investigation of Ensemble Systems Applied to Encrypted and Cancellable Biometric Data -- New Dynamic Classifiers Selection Approach for Handwritten Recognition -- Vector Perceptron Learning Algorithm Using Linear Programming -- TrueSkill-Based Pairwise Coupling for Multi-class Classification -- Analogical Inferences in the Family Trees Task: A Review -- An Efficient Way of Combining SVMs for Handwritten Digit Recognition -- Comparative Evaluation of Regression Methods for 3D-2D Image Registration -- A MDRNN-SVM Hybrid Model for Cursive Offline Handwriting Recognition -- Extraction of Prototype-Based Threshold Rules Using Neural Training Procedure -- Instance Selection with Neural Networks for Regression Problems -- A New Distance for Probability Measures Based on the Estimation of Level Sets -- Low Complexity Proto-Value Function Learning from Sensory Observations with Incremental Slow Feature Analysis -- Improving Neural Networks Classification through Chaining -- Feature Ranking Methods Used for Selection of Prototypes -- A “Learning from Models” Cognitive Fault Diagnosis System -- Improving ANNs Performance on Unbalanced Data with an AUC-Based Learning Algorithm -- Learning Using Privileged Information in Prototype Based Models -- A Sparse Support Vector Machine Classifier with Nonparametric Discriminants -- Training Mahalanobis Kernels by Linear Programming -- Correntropy-Based Document Clustering via Nonnegative Matrix Factorization -- SOMM – Self-Organized Manifold Mapping -- Self-Organizing Map and Tree Topology for Graph Summarization -- Variable-Sized Kohonen Feature Map Probabilistic Associative Memory -- Learning Deep Belief Networks from Non-stationary Streams -- Separation and Unification of Individuality and Collectivity and Its Application to Explicit Class Structure in Self-Organizing Maps -- Autoencoding Ground Motion Data for Visualisation -- Examining an Evaluation Mechanism of Metaphor Generation with Experiments and Computational Model Simulation -- Pairwise Clustering with t-PLSI -- Selecting β-Divergence for Nonnegative Matrix Factorization by Score Matching -- Neural Networks for Proof-Pattern Recognition -- Using Weighted Clustering and Symbolic Data to Evaluate Institutes Scientific Production -- Comparison of Input Data Compression Methods in Neural Network Solution of Inverse Problem in Laser Raman Spectroscopy of Natural Waters -- New Approach for Clustering Relational Data Based on Relationship and Attribute Information -- Comparative Study on Information Theoretic Clustering and Classical Clustering Algorithms -- Text Mining for Wellbeing: Selecting Stories Using Semantic and Pragmatic Features -- Hybrid Bilinear and Trilinear Models for Exploratory Analysis of Three-Way Poisson Counts -- and Machine Learning Algorithms -- Rademacher Complexity and Structural Risk Minimization: An Application to Human Gene Expression Datasets -- Using a Support Vector Machine and Sampling to Classify Compounds as Potential Transdermal Enhancers -- The Application of Gaussian Processes in the Predictions of Permeability across Mammalian Membranes -- Protein Structural Blocks Representation and Search through Unsupervised NN -- Evolutionary Support Vector Machines for Time Series Forecasting -- Learning Relevant Time Points for Time-Series Data in the Life Sciences -- A Multivariate Approach to Estimate Complexity of FMRI Time Series -- Neural Architectures for Global Solar Irradiation and Air Temperature Prediction -- Sparse Linear Wind Farm Energy Forecast -- Diffusion Maps and Local Models for Wind Power Prediction -- A Hybrid Model for S&P500 Index Forecasting.
520 ## - SUMMARY, ETC.
Summary, etc The two-volume set LNCS 7552 + 7553 constitutes the proceedings of the 22nd International Conference on Artificial Neural Networks, ICANN 2012, held in Lausanne, Switzerland, in September 2012. The 162 papers included in the proceedings were carefully reviewed and selected from 247 submissions. They are organized in topical sections named: theoretical neural computation; information and optimization; from neurons to neuromorphism; spiking dynamics; from single neurons to networks; complex firing patterns; movement and motion; from sensation to perception; object and face recognition; reinforcement learning; bayesian and echo state networks; recurrent neural networks and reservoir computing; coding architectures; interacting with the brain; swarm intelligence and decision-making; mulitlayer perceptrons and kernel networks; training and learning; inference and recognition; support vector machines; self-organizing maps and clustering; clustering, mining and exploratory analysis; bioinformatics; and time weries and forecasting.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
Topical term or geographic name as entry element Computer software.
Topical term or geographic name as entry element Artificial intelligence.
Topical term or geographic name as entry element Computer vision.
Topical term or geographic name as entry element Optical pattern recognition.
Topical term or geographic name as entry element Computer Science.
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
Topical term or geographic name as entry element Computation by Abstract Devices.
Topical term or geographic name as entry element Algorithm Analysis and Problem Complexity.
Topical term or geographic name as entry element Pattern Recognition.
Topical term or geographic name as entry element Information Systems Applications (incl. Internet).
Topical term or geographic name as entry element Image Processing and Computer Vision.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Duch, Włodzisław.
Relator term editor.
Personal name Érdi, Péter.
Relator term editor.
Personal name Masulli, Francesco.
Relator term editor.
Personal name Palm, Günther.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783642332654
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-33266-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-03-31AUM Main Library2014-03-31 2014-03-31 E-Book   AUM Main Library006.3
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