|
|
|
|
LEADER |
00000nam a22000005i 4500 |
001 |
978-3-540-69939-2 |
003 |
DE-He213 |
005 |
20221012193304.0 |
007 |
cr nn 008mamaa |
008 |
100301s2008 gw | s |||| 0|eng d |
020 |
|
|
|a 9783540699392
|9 978-3-540-69939-2
|
024 |
7 |
|
|a 10.1007/978-3-540-69939-2
|2 doi
|
050 |
|
4 |
|a QA76.9.D343
|
072 |
|
7 |
|a UNF
|2 bicssc
|
072 |
|
7 |
|a UYQE
|2 bicssc
|
072 |
|
7 |
|a COM021030
|2 bisacsh
|
072 |
|
7 |
|a UNF
|2 thema
|
072 |
|
7 |
|a UYQE
|2 thema
|
082 |
0 |
4 |
|a 006.312
|2 23
|
245 |
1 |
0 |
|a Artificial Neural Networks in Pattern Recognition
|h [electronic resource] :
|b Third IAPR TC3 Workshop, ANNPR 2008 Paris, France, July 2-4, 2008, Proceedings /
|c edited by Lionel Prevost, Simone Marinai, Friedhelm Schwenker.
|
250 |
|
|
|a 1st ed. 2008.
|
264 |
|
1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2008.
|
300 |
|
|
|a IX, 322 p.
|b online resource.
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
347 |
|
|
|a text file
|b PDF
|2 rda
|
490 |
1 |
|
|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 5064
|
505 |
0 |
|
|a Unsupervised Learning -- Patch Relational Neural Gas - Clustering of Huge Dissimilarity Datasets -- The Block Generative Topographic Mapping -- Kernel k-Means Clustering Applied to Vector Space Embeddings of Graphs -- Probabilistic Models Based on the ?-Sigmoid Distribution -- How Robust Is a Probabilistic Neural VLSI System Against Environmental Noise -- Supervised Learning -- Sparse Least Squares Support Vector Machines by Forward Selection Based on Linear Discriminant Analysis -- Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network -- Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics -- Neural Approximation of Monte Carlo Policy Evaluation Deployed in Connect Four -- Cyclostationary Neural Networks for Air Pollutant Concentration Prediction -- Fuzzy Evolutionary Probabilistic Neural Networks -- Experiments with Supervised Fuzzy LVQ -- A Neural Network Approach to Similarity Learning -- Partial Discriminative Training of Neural Networks for Classification of Overlapping Classes -- Multiple Classifiers -- Boosting Threshold Classifiers for High- Dimensional Data in Functional Genomics -- Decision Fusion on Boosting Ensembles -- The Mixture of Neural Networks as Ensemble Combiner -- Combining Methods for Dynamic Multiple Classifier Systems -- Researching on Multi-net Systems Based on Stacked Generalization -- Applications -- Real-Time Emotion Recognition from Speech Using Echo State Networks -- Sentence Understanding and Learning of New Words with Large-Scale Neural Networks -- Multi-class Vehicle Type Recognition System -- A Bio-inspired Neural Model for Colour Image Segmentation -- Mining Software Aging Patterns by Artificial Neural Networks -- Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative Chemotherapy -- Feature Selection -- Feature Ranking Ensembles for Facial Action Unit Classification -- Texture Classification with Generalized Fourier Descriptors in Dimensionality Reduction Context: An Overview Exploration -- Improving Features Subset Selection Using Genetic Algorithms for Iris Recognition -- Artificial Neural Network Based Automatic Face Model Generation System from Only One Fingerprint.
|
650 |
|
0 |
|a Data mining.
|
650 |
|
0 |
|a Computer engineering.
|
650 |
|
0 |
|a Computer networks .
|
650 |
|
0 |
|a Pattern recognition systems.
|
650 |
|
0 |
|a Artificial intelligence.
|
650 |
|
0 |
|a Application software.
|
650 |
|
0 |
|a Biometric identification.
|
650 |
1 |
4 |
|a Data Mining and Knowledge Discovery.
|
650 |
2 |
4 |
|a Computer Engineering and Networks.
|
650 |
2 |
4 |
|a Automated Pattern Recognition.
|
650 |
2 |
4 |
|a Artificial Intelligence.
|
650 |
2 |
4 |
|a Computer and Information Systems Applications.
|
650 |
2 |
4 |
|a Biometrics.
|
700 |
1 |
|
|a Prevost, Lionel.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
700 |
1 |
|
|a Marinai, Simone.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
700 |
1 |
|
|a Schwenker, Friedhelm.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
|
710 |
2 |
|
|a SpringerLink (Online service)
|
773 |
0 |
|
|t Springer Nature eBook
|
776 |
0 |
8 |
|i Printed edition:
|z 9783540866244
|
776 |
0 |
8 |
|i Printed edition:
|z 9783540699385
|
830 |
|
0 |
|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 5064
|
856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/978-3-540-69939-2
|z Texto Completo
|
912 |
|
|
|a ZDB-2-SCS
|
912 |
|
|
|a ZDB-2-SXCS
|
912 |
|
|
|a ZDB-2-LNC
|
950 |
|
|
|a Computer Science (SpringerNature-11645)
|
950 |
|
|
|a Computer Science (R0) (SpringerNature-43710)
|