Feature Selection via Concave Minimization and Support Vector Machines

Multicategory Classification by Support Vector Machines

Computational Optimization and Applications - Special issue on computational optimization—a tribute to Olvi Mangasarian, part I

Data selection for support vector machine classifiers

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining

SSVM: A Smooth Support Vector Machine for Classification

Computational Optimization and Applications

Data mining with sparse grids

Computing

Polyhedral separability through successive LP

Journal of Optimization Theory and Applications

Gene Selection for Cancer Classification using Support Vector Machines

Machine Learning

Survival-Time Classification of Breast Cancer Patients

Computational Optimization and Applications

Optimization methods in massive data sets

Handbook of massive data sets

Bayesian kernel methods

Advanced lectures on machine learning

An introduction to boosting and leveraging

Advanced lectures on machine learning

Lagrangian support vector machines

The Journal of Machine Learning Research

Minimal kernel classifiers

The Journal of Machine Learning Research

Use of the zero norm with linear models and kernel methods

The Journal of Machine Learning Research

The disputed federalist papers: SVM feature selection via concave minimization

Proceedings of the 2003 conference on Diversity in computing

Benchmarking Least Squares Support Vector Machine Classifiers

Machine Learning

Addressing the Problems of Bayesian Network Classification of Video Using High-Dimensional Features

IEEE Transactions on Knowledge and Data Engineering

A Feature Selection Newton Method for Support Vector Machine Classification

Computational Optimization and Applications

A tutorial on support vector regression

Statistics and Computing

CLIP4: hybrid inductive machine learning algorithm that generates inequality rules

Information Sciences: an International Journal - Special issue: Soft computing data mining

Multiple kernel learning, conic duality, and the SMO algorithm

ICML '04 Proceedings of the twenty-first international conference on Machine learning

LESS: A Model-Based Classifier for Sparse Subspaces

IEEE Transactions on Pattern Analysis and Machine Intelligence

Rule extraction from linear support vector machines

Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining

The cross entropy method for classification

ICML '05 Proceedings of the 22nd international conference on Machine learning

Exploratory basis pursuit classification

Pattern Recognition Letters - Special issue: Artificial neural networks in pattern recognition

SVM Feature Selection for Classification of SPECT Images of Alzheimer's Disease Using Spatial Information

ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining

Combined SVM-Based Feature Selection and Classification

Machine Learning

Learning sparse metrics via linear programming

Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining

Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a Weight-Based Approach

The Journal of Machine Learning Research

FS_SFS: A novel feature selection method for support vector machines

Pattern Recognition

SVM feature selection for classification of SPECT images of Alzheimer's disease using spatial information

Knowledge and Information Systems - Special Issue on Mining Low-Quality Data

Isotonic Separation

INFORMS Journal on Computing

The Interplay of Optimization and Machine Learning Research

The Journal of Machine Learning Research

Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization

The Journal of Machine Learning Research

Feature selection in a kernel space

Proceedings of the 24th international conference on Machine learning

Direct convex relaxations of sparse SVM

Proceedings of the 24th international conference on Machine learning

Minimum reference set based feature selection for small sample classifications

Proceedings of the 24th international conference on Machine learning

Hybrid huberized support vector machines for microarray classification

Proceedings of the 24th international conference on Machine learning

Hybrid huberized support vector machines for microarray classification

Proceedings of the 24th international conference on Machine learning

Feature selection via sensitivity analysis of SVM probabilistic outputs

Machine Learning

Stepwise feature selection using generalized logistic loss

Computational Statistics & Data Analysis

Multiclass SVM-RFE for product form feature selection

Expert Systems with Applications: An International Journal

Kernel discriminant analysis based feature selection

Neurocomputing

Privacy-preserving classification of vertically partitioned data via random kernels

ACM Transactions on Knowledge Discovery from Data (TKDD)

Oblique Support Vector Machines

Informatica

An Improved SVM Based on 1-Norm for Selection of Personal Credit Scoring Index System

ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III

A GA-Based Feature Subset Selection and Parameter Optimization of Support Vector Machine for Content --- Based Image Retrieval

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

SVM-Based Face Recognition Using Genetic Search for Frequency-Feature Subset Selection

ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing

Gene Selection for Cancer Classification Using DCA

ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications

Learning with Lq

ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I

Cortical Surface Thickness as a Classifier: Boosting for Autism Classification

MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I

Fast semi-supervised SVM classifiers using a priori metric information

Optimization Methods & Software - Mathematical programming in data mining and machine learning

The hidden neurons selection of the wavelet networks using support vector machines and ridge regression

Neurocomputing

Selecting of the optimal feature subset and kernel parameters in digital modulation classification by using hybrid genetic algorithm-support vector machines: HGASVM

Expert Systems with Applications: An International Journal

Decomposition techniques for training linear programming support vector machines

Neurocomputing

Simultaneous cancer classification and gene selection with Bayesian nearest neighbor method: An integrated approach

Computational Statistics & Data Analysis

Principal-agent learning

Decision Support Systems

Non-monotonic feature selection

ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning

Bayesian binary kernel probit model for microarray based cancer classification and gene selection

Computational Statistics & Data Analysis

Kernel regression with order preferences

AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1

Learning sparse kernels from 3D surfaces for heart wall motion abnormality detection

IAAI'08 Proceedings of the 20th national conference on Innovative applications of artificial intelligence - Volume 3

Optimal feature selection for support vector machines

Pattern Recognition

A new support vector machine for microarray classification and adaptive gene selection

ACC'09 Proceedings of the 2009 conference on American Control Conference

Sparse Support Vector Machines with L_{p} Penalty for Biomarker Identification

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

Binarized Support Vector Machines

INFORMS Journal on Computing

Active feature selection using classes

PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining

L0-constrained regression for data mining

PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining

Selection of basis functions guided by the L2 soft margin

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

Content-based image retrieval by combining genetic algorithm and support vector machine

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

Minimum sum-of-squares clustering by DC programming and DCA

ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications

Feature selection for SVM via optimization of kernel polarization with Gaussian ARD kernels

Expert Systems with Applications: An International Journal

Concave programming for minimizing the zero-norm over polyhedral sets

Computational Optimization and Applications

Discriminative semi-supervised feature selection via manifold regularization

IEEE Transactions on Neural Networks

Simultaneous feature selection and classification using kernel-penalized support vector machines

Information Sciences: an International Journal

A Bayesian hybrid Huberized support vector machine and its applications in high-dimensional medical data

Computational Statistics & Data Analysis

Sparse models for gender classification

FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition

A sparse nearest mean classifier for high dimensional multi-class problems

Pattern Recognition Letters

A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification

The Journal of Machine Learning Research

Simultaneous feature selection and classifier training via linear programming: a case study for face expression recognition

CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition

On the explicit use of example weights in the construction of classifiers

ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II

The design of evolutionary multiple classifier system for the classification of microarray data

ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III

Combined Feature Selection and Cancer Prognosis Using Support Vector Machine Regression

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

Adaptive facial expression recognition using inter-modal top-down context

ICMI '11 Proceedings of the 13th international conference on multimodal interfaces

The structured elastic net for quantile regression and support vector classification

Statistics and Computing

Feature selection based on kernel discriminant analysis

ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II

Batch classification with applications in computer aided diagnosis

ECML'06 Proceedings of the 17th European conference on Machine Learning

Linear penalization support vector machines for feature selection

PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence

Comprehending and transferring facial expressions based on statistical shape and texture models

CGI'06 Proceedings of the 24th international conference on Advances in Computer Graphics

Novel linear programming approach for building a piecewise nonlinear binary classifier with a priori accuracy

Decision Support Systems

Relevance feedback for sketch retrieval based on linear programming classification

PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing

Evaluation of feature selection by multiclass kernel discriminant analysis

ANNPR'10 Proceedings of the 4th IAPR TC3 conference on Artificial Neural Networks in Pattern Recognition

A trace compression algorithm targeting power estimation of long benchmarks

Proceedings of the International Conference on Computer-Aided Design

Soft sensor modeling based on DICA-SVR

ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I

Real time facial expression recognition using local binary patterns and linear programming

MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence

An optimization approach for feature selection in an electric billing database

KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV

Pedestrian detection in images via cascaded L1-norm minimization learning method

Pattern Recognition

Integrated classifier hyperplane placement and feature selection

Expert Systems with Applications: An International Journal

Embedded feature selection for support vector machines: state-of-the-art and future challenges

CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Improving nearest neighbor classification by elimination of noisy irrelevant features

ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II

Gaussian kernel minimum sum-of-squares clustering and solution method based on DCA

ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II

A proof of convergence of the concave-convex procedure using zangwill's theory

Neural Computation

Parameterized attribute reduction with Gaussian kernel based fuzzy rough sets

Information Sciences: an International Journal

An efficient feature selection method for mobile devices with application to activity recognition

Neurocomputing

Feature selection via dependence maximization

The Journal of Machine Learning Research

A general lp-norm support vector machine via mixed 0-1 programming

MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition

Clustering data stream by a sub-window approach using DCA

MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition

Support Vector Machines with L1 penalty for detecting gene-gene interactions

International Journal of Data Mining and Bioinformatics

Feature selection for nonlinear models with extreme learning machines

Neurocomputing

Learning class-to-image distance via large margin and l1-norm regularization

ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II

Feature selection by block addition and block deletion

ANNPR'12 Proceedings of the 5th INNS IAPR TC 3 GIRPR conference on Artificial Neural Networks in Pattern Recognition

Sparse signal recovery by difference of convex functions algorithms

ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II

Learning Using Privileged Information with L-1 Support Vector Machine

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

An iterative SVM approach to feature selection and classification in high-dimensional datasets

Pattern Recognition

Feature extraction based on Lp-norm generalized principal component analysis

Pattern Recognition Letters

Survival model in oral squamous cell carcinoma based on clinicopathological parameters, molecular markers and support vector machines

Expert Systems with Applications: An International Journal

Large Margin Subspace Learning for feature selection

Pattern Recognition

Sparse high-dimensional fractional-norm support vector machine via DC programming

Computational Statistics & Data Analysis

Block clustering based on difference of convex functions dc programming and dc algorithms

Neural Computation

Analytic feature selection for support vector machines

MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition

DCA based algorithms for feature selection in semi-supervised support vector machines

MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition

New and efficient DCA based algorithms for minimum sum-of-squares clustering

Pattern Recognition

EnCore: exploiting system environment and correlation information for misconfiguration detection

Proceedings of the 19th international conference on Architectural support for programming languages and operating systems

Efficient feature size reduction via predictive forward selection

Pattern Recognition

White box radial basis function classifiers with component selection for clinical prediction models

Artificial Intelligence in Medicine