Some Structural and Algorithmic Properties of the Maximum Feasible Subsystem Problem
Proceedings of the 7th International IPCO Conference on Integer Programming and Combinatorial Optimization
Inferring a Union of Halfspaces from Examples
COCOON '02 Proceedings of the 8th Annual International Conference on Computing and Combinatorics
An introduction to variable and feature selection
The Journal of Machine Learning Research
Use of the zero norm with linear models and kernel methods
The Journal of Machine Learning Research
Self-adapting software for numerical linear algebra and LAPACK for clusters
Parallel Computing - Special issue: Parallel and distributed scientific and engineering computing
Second Order Cone Programming Formulations for Feature Selection
The Journal of Machine Learning Research
Formulating distance functions via the kernel trick
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Formulating context-dependent similarity functions
Proceedings of the 13th annual ACM international conference on Multimedia
On the hardness of approximating Max-Satisfy
Information Processing Letters
Self-adapting numerical software (SANS) effort
IBM Journal of Research and Development
On the complexity of deriving position specific score matrices from positive and negative sequences
Discrete Applied Mathematics
Analysis of SVM regression bounds for variable ranking
Neurocomputing
Feature selection for the SVM: An application to hypertension diagnosis
Expert Systems with Applications: An International Journal
Proceedings of the thirty-ninth annual ACM symposium on Theory of computing
A hybrid genetic algorithm for feature selection wrapper based on mutual information
Pattern Recognition Letters
Efficient and effective explanation of change in hierarchical summaries
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A two-phase relaxation-based heuristic for the maximum feasible subsystem problem
Computers and Operations Research
A parameterless feature ranking algorithm based on MI
Neurocomputing
AIKED'05 Proceedings of the 4th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering Data Bases
Rank minimization via online learning
Proceedings of the 25th international conference on Machine learning
A Genetic-Based Feature Construction Method for Data Summarisation
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
BICA: A Boolean Indepenedent Component Analysis Approach
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Dynamic Aggregation of Relational Attributes Based on Feature Construction
ADBIS '08 Proceedings of the 12th East European conference on Advances in Databases and Information Systems
On the approximability of minmax (regret) network optimization problems
Information Processing Letters
Bellwether analysis: Searching for cost-effective query-defined predictors in large databases
ACM Transactions on Knowledge Discovery from Data (TKDD)
Feature selection with dynamic mutual information
Pattern Recognition
Feature subset selection from positive and unlabelled examples
Pattern Recognition Letters
Interpretation of gene expression microarray experiments
Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
Hardness of Solving Sparse Overdetermined Linear Systems: A 3-Query PCP over Integers
ACM Transactions on Computation Theory (TOCT)
False data injection attacks against state estimation in electric power grids
Proceedings of the 16th ACM conference on Computer and communications security
Zero Norm Least Squares Proximal SVR
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
DensityRank: a novel feature ranking method based on kernel estimation
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
On the hardness of approximating Max-Satisfy
Information Processing Letters
Foreground segmentation via sparse representation
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Combination of feature selection approaches with SVM in credit scoring
Expert Systems with Applications: An International Journal
A novel feature selection approach by hybrid genetic algorithm
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Creating diverse nearest-neighbour ensembles using simultaneous metaheuristic feature selection
Pattern Recognition Letters
Towards a memetic feature selection paradigm
IEEE Computational Intelligence Magazine
Concave programming for minimizing the zero-norm over polyhedral sets
Computational Optimization and Applications
Improved Group Sparse Classifier
Pattern Recognition Letters
Image annotation by sparse logistic regression
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
False data injection attacks against state estimation in electric power grids
ACM Transactions on Information and System Security (TISSEC)
Sparse regularization for semi-supervised classification
Pattern Recognition
Classifying dialogue in high-dimensional space
ACM Transactions on Speech and Language Processing (TSLP)
International Journal of Sensor Networks
Beyond sparsity: The role of L1-optimizer in pattern classification
Pattern Recognition
Emerging topic detection using dictionary learning
Proceedings of the 20th ACM international conference on Information and knowledge management
Kernel sparse representation based classification
Neurocomputing
Parent assignment is hard for the MDL, AIC, and NML costs
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Fuzzy criteria for feature selection
Fuzzy Sets and Systems
Feature subset selection with cumulate conditional mutual information minimization
Expert Systems with Applications: An International Journal
A trace compression algorithm targeting power estimation of long benchmarks
Proceedings of the International Conference on Computer-Aided Design
Hardness results for agnostically learning low-degree polynomial threshold functions
Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete Algorithms
Part-based motion descriptor image for human action recognition
Pattern Recognition
Image clustering via sparse representation
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Sparse weighted voting classifier selection and its linear programming relaxations
Information Processing Letters
Efficient cross-correlation via sparse representation in sensor networks
Proceedings of the 11th international conference on Information Processing in Sensor Networks
Optimized projection for sparse representation based classification
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
Feature selection using structural similarity
Information Sciences: an International Journal
Sparse Representation-Based Heartbeat Classification Using Independent Component Analysis
Journal of Medical Systems
A reduct derived from feature selection
Pattern Recognition Letters
Review: Supervised classification and mathematical optimization
Computers and Operations Research
Letters: Enhancing sparsity via ℓp (0
Neurocomputing
Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data
Information Sciences: an International Journal
Face recognition via Weighted Sparse Representation
Journal of Visual Communication and Image Representation
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
i-Vector with sparse representation classification for speaker verification
Speech Communication
Learning non-linear classifiers with a sparsity constraint using L1 regularization
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Sparse high-dimensional fractional-norm support vector machine via DC programming
Computational Statistics & Data Analysis
The role of dictionary learning on sparse representation-based classification
Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments
A Semi-Supervised Learning Approach to Integrated Salient Risk Features for Bone Diseases
Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics
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
Dimensionality reduction methods for machine translation quality estimation
Machine Translation
Sparse Representation Shape Models
Journal of Mathematical Imaging and Vision
Face hallucination based on sparse local-pixel structure
Pattern Recognition
Pose-based human action recognition via sparse representation in dissimilarity space
Journal of Visual Communication and Image Representation
Non-negative sparse decomposition based on constrained smoothed ℓ0 norm
Signal Processing
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