Learning And Optimization Of The Kernel Functions From Insufficiently Labeled Data
Amongst all the machine learning techniques, kernel methods are increasingly becoming popular due to their efficiency, accuracy and ability to handle high-dimensional data. The fundamental problem related to these learning techniques is the selection of the kernel function. Therefore, learning th...
Main Author: | Abbasnejad, M. Ehsan |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2010
|
Subjects: | |
Online Access: | http://eprints.usm.my/41234/1/M._Ehsan_Abbasnejad-shahfiq.pdf |
Similar Items
-
An optimized framework for header suppression of real time IPV6 traffic in multiprotocol label switching (MPLS) networks.
by: Mohammed, Imad Jasim
Published: (2011) -
Optimized feature construction methods for data summarizations of relational data
by: Sze, Florence Sia Fui
Published: (2014) -
Spatial Kernel-based Generalized C-mean Clustering for Medical Image Segmentation.
by: Lee, Song Yeow
Published: (2010) -
Heuristic-Based Ant Colony Optimization Algorithm For Protein Functional Module Detection In Protein Interaction Network
by: SALLIM, JAMALUDIN
Published: (2017) -
Heuristic-Based Ant Colony Optimization Algorithm For Protein Functional Module Detection In Protein Interaction Network
by: Sallim, Jamaludin
Published: (2017)