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|a 9783540317289
|9 978-3-540-31728-9
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|a 10.1007/11559887
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|a Deterministic and Statistical Methods in Machine Learning
|h [electronic resource] :
|b First International Workshop, Sheffield, UK, September 7-10, 2004. Revised Lectures /
|c edited by Joab Winkler, Neil Lawrence, Mahesan Niranjan.
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| 250 |
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|a 1st ed. 2005.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2005.
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| 300 |
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|a VIII, 341 p.
|b online resource.
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|a text
|b txt
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|a computer
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|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 3635
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| 505 |
0 |
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|a Object Recognition via Local Patch Labelling -- Multi Channel Sequence Processing -- Bayesian Kernel Learning Methods for Parametric Accelerated Life Survival Analysis -- Extensions of the Informative Vector Machine -- Efficient Communication by Breathing -- Guiding Local Regression Using Visualisation -- Transformations of Gaussian Process Priors -- Kernel Based Learning Methods: Regularization Networks and RBF Networks -- Redundant Bit Vectors for Quickly Searching High-Dimensional Regions -- Bayesian Independent Component Analysis with Prior Constraints: An Application in Biosignal Analysis -- Ensemble Algorithms for Feature Selection -- Can Gaussian Process Regression Be Made Robust Against Model Mismatch? -- Understanding Gaussian Process Regression Using the Equivalent Kernel -- Integrating Binding Site Predictions Using Non-linear Classification Methods -- Support Vector Machine to Synthesise Kernels -- Appropriate Kernel Functions for Support Vector Machine Learning with Sequences of Symbolic Data -- Variational Bayes Estimation of Mixing Coefficients -- A Comparison of Condition Numbers for the Full Rank Least Squares Problem -- SVM Based Learning System for Information Extraction.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Machine theory.
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| 650 |
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0 |
|a Database management.
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| 650 |
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0 |
|a Information storage and retrieval systems.
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| 650 |
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|a Computer vision.
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| 650 |
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0 |
|a Pattern recognition systems.
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| 650 |
1 |
4 |
|a Artificial Intelligence.
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| 650 |
2 |
4 |
|a Formal Languages and Automata Theory.
|
| 650 |
2 |
4 |
|a Database Management.
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| 650 |
2 |
4 |
|a Information Storage and Retrieval.
|
| 650 |
2 |
4 |
|a Computer Vision.
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| 650 |
2 |
4 |
|a Automated Pattern Recognition.
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| 700 |
1 |
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|a Winkler, Joab.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Lawrence, Neil.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Niranjan, Mahesan.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer Nature eBook
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| 776 |
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8 |
|i Printed edition:
|z 9783540816072
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783540290735
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| 830 |
|
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|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 3635
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| 856 |
4 |
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|u https://doi.uam.elogim.com/10.1007/11559887
|z Texto Completo
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|a ZDB-2-LNC
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| 950 |
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|a Computer Science (SpringerNature-11645)
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| 950 |
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|a Computer Science (R0) (SpringerNature-43710)
|
