Deterministic and Statistical Methods in Machine Learning [electronic resource] : First International Workshop, Sheffield, UK, September 7-10, 2004. Revised Lectures /
Material type: TextSeries: Lecture Notes in Artificial Intelligence ; 3635Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005Edition: 1st ed. 2005Description: VIII, 341 p. online resourceContent type:- text
- computer
- online resource
- 9783540317289
- Artificial intelligence
- Machine theory
- Database management
- Information storage and retrieval systems
- Computer vision
- Pattern recognition systems
- Artificial Intelligence
- Formal Languages and Automata Theory
- Database Management
- Information Storage and Retrieval
- Computer Vision
- Automated Pattern Recognition
- 006.3 23
- Q334-342
- TA347.A78
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.
There are no comments on this title.