Improving support vector machine classifiers by modifying kernal functions

Learning and decision-making in the framework of fuzzy lattices

New learning paradigms in soft computing

Conformal Transformation of Kernel Functions: A Data-Dependent Way to Improve Support Vector Machine Classifiers

Neural Processing Letters

Support vector machines for analog circuit performance representation

Proceedings of the 40th annual Design Automation Conference

Kernel VA-files for relevance feedback retrieva

MMDB '03 Proceedings of the 1st ACM international workshop on Multimedia databases

Multi-camera spatio-temporal fusion and biased sequence-data learning for security surveillance

MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia

A Support Vector Machine with a Hybrid Kernel and Minimal Vapnik-Chervonenkis Dimension

IEEE Transactions on Knowledge and Data Engineering

Adaptive Quasiconformal Kernel Nearest Neighbor Classification

IEEE Transactions on Pattern Analysis and Machine Intelligence

Kernel Vector Approximation Files for Relevance Feedback Retrieval in Large Image Databases

Multimedia Tools and Applications

KBA: Kernel Boundary Alignment Considering Imbalanced Data Distribution

IEEE Transactions on Knowledge and Data Engineering

Feature-based approach to semi-supervised similarity learning

Pattern Recognition

Terminated Ramp-Support Vector Machines: A nonparametric data dependent kernel

Neural Networks

A kernel optimization method based on the localized kernel Fisher criterion

Pattern Recognition

Data-Dependent Kernel Machines for Microarray Data Classification

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

Optimizing the data-dependent kernel under a unified kernel optimization framework

Pattern Recognition

On optimal degree selection for polynomial kernel with support vector machines: Theoretical and empirical investigations

International Journal of Knowledge-based and Intelligent Engineering Systems

Localized multiple kernel learning

Proceedings of the 25th international conference on Machine learning

Adaptive quasiconformal kernel discriminant analysis

Neurocomputing

Dynamic classification for video stream using support vector machine

Applied Soft Computing

A Criterion for Learning the Data-Dependent Kernel for Classification

ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications

Reliability forecasting by recurrent Support Vector Regression

International Journal of Artificial Intelligence and Soft Computing

Learning from imbalanced data in surveillance of nosocomial infection

Artificial Intelligence in Medicine

A class possibility based kernel to increase classification accuracy for small data sets using support vector machines

Expert Systems with Applications: An International Journal

Using Wolfe's Method in Support Vector Machines Learning Stage

MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence

Kernel Optimization Using a Generalized Eigenvalue Approach

PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence

On support vector regression machines with linguistic interpretation of the kernel matrix

Fuzzy Sets and Systems

Taiwanese 3G mobile phone demand forecasting by SVR with hybrid evolutionary algorithms

Expert Systems with Applications: An International Journal

Deriving the kernel from training data

MCS'07 Proceedings of the 7th international conference on Multiple classifier systems

Study on signal interpretation of GPR based on support vector machines

LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications

Boosting support vector machines for imbalanced data sets

ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems

A learning method for the class imbalance problem with medical data sets

Computers in Biology and Medicine

Detection of cardiac abnormality from PCG signal using LMS based least square SVM classifier

Expert Systems with Applications: An International Journal

Learning Translation Invariant Kernels for Classification

The Journal of Machine Learning Research

Automatic morphological categorisation of carbon black nano-aggregates

DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part II

SVR with hybrid chaotic genetic algorithms for tourism demand forecasting

Applied Soft Computing

Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm

Neurocomputing

Asymmetric Kernel scaling for imbalanced data classification

WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications

Enhanced Topic-based Vector Space Model for semantics-aware spam filtering

Expert Systems with Applications: An International Journal

A computational intelligence scheme for the prediction of the daily peak load

Applied Soft Computing

Scaling the kernel function based on the separating boundary in input space: A data-dependent way for improving the performance of kernel methods

Information Sciences: an International Journal

Fusion of gaussian kernels within support vector classification

CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications

Scaling the kernel function to improve performance of the support vector machine

ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I

General kernel optimization model based on kernel fisher criterion

ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I

Using structure-based data transformation method to improve prediction accuracies for small data sets

Decision Support Systems

A kernel optimization method based on the localized kernel fisher criterion

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I

An information-geometrical approach to constructing kernel in support vector regression machines

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I

On the fusion of polynomial kernels for support vector classifiers

IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning

Multiple kernel learning with gaussianity measures

Neural Computation

Kernel Self-optimized Locality Preserving Discriminant Analysis for feature extraction and recognition

Neurocomputing

A non-linear quality improvement model using SVR for manufacturing TFT-LCDs

Journal of Intelligent Manufacturing

Using past manufacturing experience to assist building the yield forecast model for new manufacturing processes

Journal of Intelligent Manufacturing

Word sense disambiguation for spam filtering

Electronic Commerce Research and Applications

Automatic categorisation of comments in social news websites

Expert Systems with Applications: An International Journal

Geodesic analysis on the gaussian RKHS hypersphere

ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I

Opcode sequences as representation of executables for data-mining-based unknown malware detection

Information Sciences: an International Journal

Predicting Mental Health Status in the Context of Web Browsing

WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03

A new approach for manufacturing forecast problems with insufficient data: the case of TFT---LCDs

Journal of Intelligent Manufacturing

Reversing the effects of tokenisation attacks against content-based spam filters

International Journal of Security and Networks

Reversible privacy preserving data mining: a combination of difference expansion and privacy preserving

The Journal of Supercomputing

Kernel self-optimization learning for kernel-based feature extraction and recognition

Information Sciences: an International Journal

Adjusted F-measure and kernel scaling for imbalanced data learning

Information Sciences: an International Journal

Application of SVR with chaotic GASA algorithm to forecast Taiwanese 3G mobile phone demand

Neurocomputing