Artificial Neural Networks and Machine Learning – ICANN 2013 : (Registro nro. 307768)
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| campo de control de longitud fija | 08921nam a22004335i 4500 |
| 001 - NÚMERO DE CONTROL | |
| campo de control | 307768 |
| 003 - IDENTIFICADOR DEL NÚMERO DE CONTROL | |
| campo de control | MX-SnUAN |
| 005 - FECHA Y HORA DE LA ÚLTIMA TRANSACCIÓN | |
| campo de control | 20190925113458.0 |
| 007 - CAMPO FIJO DE DESCRIPCIÓN FÍSICA--INFORMACIÓN GENERAL | |
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| 008 - DATOS DE LONGITUD FIJA--INFORMACIÓN GENERAL | |
| campo de control de longitud fija | 150903s2013 gw | o |||| 0|eng d |
| 020 ## - NÚMERO INTERNACIONAL ESTÁNDAR DEL LIBRO | |
| Número Internacional Estándar del Libro | 9783642407284 |
| -- | 9783642407284 |
| 024 7# - IDENTIFICADOR DE OTROS ESTÁNDARES | |
| Número estándar o código | 10.1007/9783642407284 |
| Fuente del número o código | doi |
| 035 ## - NÚMERO DE CONTROL DEL SISTEMA | |
| Número de control de sistema | vtls000362090 |
| 039 #9 - NIVEL DE CONTROL BIBLIOGRÁFICO Y DETALLES DE CODIFICACIÓN [OBSOLETO] | |
| Nivel de reglas en descripción bibliográfica | 201509030630 |
| Nivel de esfuerzo utilizado para asignar no-encabezamientos de materia en puntos de acceso | VLOAD |
| Nivel de esfuerzo utilizado en la asignación de encabezamientos de materia | 201405070324 |
| Nivel de esfuerzo utilizado para asignar clasificación | VLOAD |
| -- | 201402211041 |
| -- | staff |
| 040 ## - FUENTE DE LA CATALOGACIÓN | |
| Centro catalogador/agencia de origen | MX-SnUAN |
| Lengua de catalogación | spa |
| Centro/agencia transcriptor | MX-SnUAN |
| Normas de descripción | rda |
| 050 #4 - CLASIFICACIÓN DE LA BIBLIOTECA DEL CONGRESO | |
| Número de clasificación | Q334-342 |
| 100 1# - ENTRADA PRINCIPAL--NOMBRE DE PERSONA | |
| Nombre de persona | Mladenov, Valeri. |
| Término indicativo de función/relación | editor. |
| 9 (RLIN) | 303443 |
| 245 10 - MENCIÓN DE TÍTULO | |
| Título | Artificial Neural Networks and Machine Learning – ICANN 2013 : |
| Resto del título | 23rd International Conference on Artificial Neural Networks Sofia, Bulgaria, September 10-13, 2013. Proceedings / |
| Mención de responsabilidad, etc. | edited by Valeri Mladenov, Petia Koprinkova-Hristova, Günther Palm, Alessandro E. P. Villa, Bruno Appollini, Nikola Kasabov. |
| 264 #1 - PRODUCCIÓN, PUBLICACIÓN, DISTRIBUCIÓN, FABRICACIÓN Y COPYRIGHT | |
| Producción, publicación, distribución, fabricación y copyright | Berlin, Heidelberg : |
| Nombre del de productor, editor, distribuidor, fabricante | Springer Berlin Heidelberg : |
| -- | Imprint: Springer, |
| Fecha de producción, publicación, distribución, fabricación o copyright | 2013. |
| 300 ## - DESCRIPCIÓN FÍSICA | |
| Extensión | xviii, 643 páginas 231 ilustraciones |
| Otras características físicas | recurso en línea. |
| 336 ## - TIPO DE CONTENIDO | |
| Término de tipo de contenido | texto |
| Código de tipo de contenido | txt |
| Fuente | rdacontent |
| 337 ## - TIPO DE MEDIO | |
| Nombre/término del tipo de medio | computadora |
| Código del tipo de medio | c |
| Fuente | rdamedia |
| 338 ## - TIPO DE SOPORTE | |
| Nombre/término del tipo de soporte | recurso en línea |
| Código del tipo de soporte | cr |
| Fuente | rdacarrier |
| 347 ## - CARACTERÍSTICAS DEL ARCHIVO DIGITAL | |
| Tipo de archivo | archivo de texto |
| Formato de codificación | |
| Fuente | rda |
| 490 0# - MENCIÓN DE SERIE | |
| Mención de serie | Lecture Notes in Computer Science, |
| Número Internacional Normalizado para Publicaciones Seriadas | 0302-9743 ; |
| Designación de volumen o secuencia | 8131 |
| 500 ## - NOTA GENERAL | |
| Nota general | Springer eBooks |
| 505 0# - NOTA DE CONTENIDO CON FORMATO | |
| Nota de contenido con formato | Neural Network Theory and Models -- Hessian Corrected Input Noise Models -- Model-Based Clustering of Temporal Data -- Fast Approximation Method for Gaussian Process Regression Using Hash Function for Non-uniformly Distributed Data -- An Analytical Approach to Single Node Delay-Coupled Reservoir Computing -- Applying General-Purpose Data Reduction Techniques for Fast Time Classification -- Two-Layer Vector Perceptron -- Local Detection of Communities by Neural-Network Dynamics -- The Super-Turing Computational Power of Interactive Evolving Recurrent Neural Networks -- Group Fused Lasso -- Exponential Synchronization of a Class of RNNs with Discrete and Distributed Delays -- Foundations of Online Backpropagation -- GNMF with Newton-Based Methods -- Improving the Associative Rule Chaining Architecture -- Machine Learning and Learning Algorithms -- A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines -- A Low-Energy Implementation of Finite Automata by Optimal-Size Neural Nets -- A Distributed Learning Algorithm Based on Frontier Vector Quantization and Information Theory -- Efficient Baseline-Free Sampling in Parameter Exploring Policy Gradients: Super Symmetric PGPE -- Direct Method for Training Feed-Forward Neural Networks Using Batch Extended Kalman Filter for Multi-Step-Ahead Predictions -- Learning with Hard Constraints -- Bidirectional Activation-based Neural Network Learning Algorithm -- A Neural Network Model for Online Multi-Task Multi-Label Pattern Recognition -- Novel Feature Selection and Kernel-Based Value Approximation Method for Reinforcement Learning -- Learning of Lateral Interactions for Perceptual Grouping Employing Information Gain -- On–Line Laplacian One–Class Support Vector Machines -- OSA: One-Class Recursive SVM Algorithm with Negative Sample for Fault Detection.-Brain-Machine Interaction and Bio-inspired Systems EEG Dataset Reduction and Classification Using Wave Atom Transform -- Embodied Language Understanding with a Multiple Timescale Recurrent Neural Network -- Unsupervised Online Calibration of a c-VEP Brain-Computer Interface (BCI) -- A Biologically Inspired Model for the Detection of External and Internal Head Motions -- Cortically Inspired Sensor Fusion Network for Mobile Robot Heading Estimation -- Learning Sensorimotor Transformations with Dynamic Neural Fields -- Cognitive Sciences and Neuroscience -- Learning Temporally Precise Spiking Patterns through Reward Modulated Spike-Timing-Dependent Plasticity -- Memory Trace in Spiking Neural Networks -- Attention-Gated Reinforcement Learning in Neural Networks—A Unified View -- Dynamic Memory for Robot Control Using Delay-Based Coincidence Detection Neurones -- Robust Principal Component Analysis for Brain Imaging -- Phase Control of Coupled Neuron Oscillators -- Dendritic Computations in a Rall Model with Strong Distal Stimulation -- Modeling Action Verb Semantics Using Motion Tracking -- Evolution of Dendritic Morphologies Using Deterministic and Genotype to Phenotype Mapping -- Sparseness Controls the Receptive Field Characteristics of V4 Neurons: Generation of Curvature Selectivity in V4 -- Pattern Recognition and Classification -- Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging -- Echo State Networks in Dynamic Data Clustering -- Self-Organization in Parallel Coordinates -- A General Image Representation Scheme and Its Improvement for Image Analysis -- Learning Features for Activity Recognition with Shift-Invariant Sparse Coding -- Hearing Aid Classification Based on Audiology Data -- BLSTM-RNN Based 3D Gesture Classification -- Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data -- A Combination of Hand-Crafted and Hierarchical High-Level Learnt Feature Extraction for Music Genre Classification -- Exploration of Loneliness Questionnaires Using the Self-Organising Map -- An Effective Dynamic Gesture Recognition System Based on the Feature Vector Reduction for SURF and LCS -- Feature Weighting by Maximum Distance Minimization -- Training Computationally Efficient Smartphone–Based Human Activity Recognition Models -- A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers -- Online Classification of Eye Tracking Data for Automated Analysis of Traffic Hazard Perception -- Neural Network Applications in Control and Robotics Time-Series Forecasting of Indoor Temperature Using Pre-trained Deep Neural Networks -- Recurrent Fuzzy-Neural Network with Fast Learning Algorithm for Predictive Control -- Real-Time Interface Board for Closed-Loop Robotic Tasks on the SpiNNaker Neural Computing System -- A Software Framework for Cognition, Embodiment, Dynamics, and Autonomy in Robotics: cedar -- Adaptive Critic Neural Network Solution of Optimal Control Problems Discrete Time Delays -- Emotion Generation System Considering Complex Emotion Based on MaC Model with Neural Networks -- Neuro-Optimal Controller for Robot Manipulators -- Learning to Walk Using a Recurrent Neural Network with Time Delay -- The Imbalance Network and Incremental Evolution for Mobile Robot Nervous System Design -- Balancing of a Simulated Inverted Pendulum Using the NeuraBase Network Model -- Coordinated Rule Acquisition of Decision Making on Supply Chain by Exploitation-Oriented Reinforcement Learning -Beer Game as an Example.-Other Applications of Neural Networks -- Using Exponential Kernel for Word Sense Disambiguation -- Independent Component Analysis Filtration for Value at Risk Modelling -- Wind Power Resource Estimation with Deep Neural Networks -- Wavelet Neural Networks for Electricity Load Forecasting – Dealing with Border Distortion and Shift Invariance -- Interactive Two-Level WEBSOM for Organizational Exploration -- Optimal Operation of Electric Power Production System without Transmission Losses Using Artificial Neural Networks Based on Augmented Lagrange Multiplier Method -- An Echo State Network with Working Memories for Probabilistic Language Modeling -- Using the Analytic Feature Framework for the Detection of Occluded Objects -- Boltzmann Machines for Image Denoising -- Comparison on Late Fusion Methods of Low Level Features for Content Based Image Retrieval -- Vehicle Plate Recognition Using Improved Neocognitron Neural Network. |
| 520 ## - SUMARIO, ETC. | |
| Sumario, etc. | The book constitutes the proceedings of the 23rd International Conference on Artificial Neural Networks, ICANN 2013, held in Sofia, Bulgaria, in September 2013. The 78 papers included in the proceedings were carefully reviewed and selected from 128 submissions. The focus of the papers is on following topics:neurofinance graphical network models, brain machine interfaces, evolutionary neural networks, neurodynamics, complex systems, neuroinformatics, neuroengineering, hybrid systems, computational biology, neural hardware, bioinspired embedded systems, and collective intelligence. |
| 590 ## - NOTA LOCAL (RLIN) | |
| Nota local | Para consulta fuera de la UANL se requiere clave de acceso remoto. |
| 700 1# - PUNTO DE ACCESO ADICIONAL--NOMBRE DE PERSONA | |
| Nombre de persona | Koprinkova-Hristova, Petia. |
| Término indicativo de función/relación | editor. |
| 9 (RLIN) | 347512 |
| 700 1# - PUNTO DE ACCESO ADICIONAL--NOMBRE DE PERSONA | |
| Nombre de persona | Palm, Günther. |
| Término indicativo de función/relación | editor. |
| 9 (RLIN) | 329900 |
| 700 1# - PUNTO DE ACCESO ADICIONAL--NOMBRE DE PERSONA | |
| Nombre de persona | Appollini, Bruno. |
| Término indicativo de función/relación | editor. |
| 9 (RLIN) | 347513 |
| 700 1# - PUNTO DE ACCESO ADICIONAL--NOMBRE DE PERSONA | |
| Nombre de persona | Kasabov, Nikola. |
| Término indicativo de función/relación | editor. |
| 9 (RLIN) | 305286 |
| 710 2# - PUNTO DE ACCESO ADICIONAL--NOMBRE DE ENTIDAD CORPORATIVA | |
| Nombre de entidad corporativa o nombre de jurisdicción como elemento de entrada | SpringerLink (Servicio en línea) |
| 9 (RLIN) | 299170 |
| 776 08 - ENTRADA/ENLACE A UN FORMATO FÍSICO ADICIONAL | |
| Información de relación/Frase instructiva de referencia | Edición impresa: |
| Número Internacional Estándar del Libro | 9783642407277 |
| 700 1# - PUNTO DE ACCESO ADICIONAL--NOMBRE DE PERSONA | |
| 9 (RLIN) | 346140 |
| Nombre de persona | Villa, Alessandro E. P. |
| Término indicativo de función/relación | editor. |
| 856 40 - LOCALIZACIÓN Y ACCESO ELECTRÓNICOS | |
| Identificador Uniforme del Recurso | <a href="http://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-40728-4">http://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-40728-4</a> |
| Nota pública | Conectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL) |
| 942 ## - ELEMENTOS DE PUNTO DE ACCESO ADICIONAL (KOHA) | |
| Tipo de ítem Koha | Recurso en línea |
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