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ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Linear Programming Boosting via Column Generation
Machine Learning
Optimization over Zonotopes and Training Support Vector Machines
WADS '01 Proceedings of the 7th International Workshop on Algorithms and Data Structures
Convex Hull in Feature Space for Support Vector Machines
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
How Can Computer Science Contribute to Knowledge Discovery?
SOFSEM '01 Proceedings of the 28th Conference on Current Trends in Theory and Practice of Informatics Piestany: Theory and Practice of Informatics
A Random Sampling Technique for Training Support Vector Machines
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
A robust minimax approach to classification
The Journal of Machine Learning Research
Learning the Kernel Matrix with Semidefinite Programming
The Journal of Machine Learning Research
Distance--Based Classification with Lipschitz Functions
The Journal of Machine Learning Research
A generalized S-K algorithm for learning v-SVM classifiers
Pattern Recognition Letters
Feature Space Interpretation of SVMs with Indefinite Kernels
IEEE Transactions on Pattern Analysis and Machine Intelligence
Maximal margin classification for metric spaces
Journal of Computer and System Sciences - Special issue: Learning theory 2003
Geometrical Properties of Nu Support Vector Machines with Different Norms
Neural Computation
Clustering based large margin classification: a scalable approach using SOCP formulation
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Dual unification of bi-class support vector machine formulations
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Generalized Robust Conjoint Estimation
Marketing Science
A general soft method for learning SVM classifiers with L1-norm penalty
Pattern Recognition
Indirect classification approaches: a comparative study in network intrusion detection
International Journal of Computer Applications in Technology
Nearest hyperdisk methods for high-dimensional classification
Proceedings of the 25th international conference on Machine learning
Towards Effective Visual Data Mining with Cooperative Approaches
Visual Data Mining
The Kernelized Geometrical Bisection Methods
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
A 4---Vector MDM Algorithm for Support Vector Training
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
On the Equivalence of the SMO and MDM Algorithms for SVM Training
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Simple Clipping Algorithms for Reduced Convex Hull SVM Training
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Convex sets as prototypes for classifying patterns
Engineering Applications of Artificial Intelligence
Cycle-breaking acceleration of SVM training
Neurocomputing
Coresets for polytope distance
Proceedings of the twenty-fifth annual symposium on Computational geometry
AD-SVMs: A light extension of SVMs for multicategory classification
International Journal of Hybrid Intelligent Systems - Data Mining and Hybrid Intelligent Systems
Nearest Neighbor Convex Hull Classification Method for Face Recognition
ICCS 2009 Proceedings of the 9th International Conference on Computational Science
Closest pairs data selection for support vector machines
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
SVM Based Decision Analysis and Its Granular-Based Solving
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part II
Kernel Methods in Computer Vision
Foundations and Trends® in Computer Graphics and Vision
A novel geometric approach to binary classification based on scaled convex hulls
IEEE Transactions on Neural Networks
A Simple Proof of the Convergence of the SMO Algorithm for Linearly Separable Problems
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Algorithms for the Computation of Reduced Convex Hulls
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Reproducing kernel banach spaces for machine learning
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Rapid and brief communication: Unified dual for bi-class SVM approaches
Pattern Recognition
Reproducing Kernel Banach Spaces for Machine Learning
The Journal of Machine Learning Research
Multi-classification with tri-class support vector machines: a review
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
A dual membership based fuzzy support vector machine algorithm
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
A support vector machine with forgetting factor and its statistical properties
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
New clustering algorithms for the support vector machine based hierarchical classification
Pattern Recognition Letters
A ν-twin support vector machine (ν-TSVM) classifier and its geometric algorithms
Information Sciences: an International Journal
Soft Nearest Convex Hull Classifier
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
A modified support vector machine and its application to image segmentation
Image and Vision Computing
Large margin classifiers based on affine hulls
Neurocomputing
Describing data with the support vector shell in distributed environments
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Learning algorithms for link prediction based on chance constraints
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
The robust and efficient adaptive normal direction support vector regression
Expert Systems with Applications: An International Journal
Credit risk evaluation with kernel-based affine subspace nearest points learning method
Expert Systems with Applications: An International Journal
Maximal-margin approach for cost-sensitive learning based on scaled convex hull
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
INFORMS Journal on Computing
Approximate convex hulls family for one-class classification
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Detection of tornados using an incremental revised support vector machine with filters
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
The huller: a simple and efficient online SVM
ECML'05 Proceedings of the 16th European conference on Machine Learning
Training data selection for support vector machines
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Expert Systems with Applications: An International Journal
Operations Research Letters
Personalization and user verification in wearable systems using biometric walking patterns
Personal and Ubiquitous Computing
Reducing aliasing artifacts through resampling
EGGH-HPG'12 Proceedings of the Fourth ACM SIGGRAPH / Eurographics conference on High-Performance Graphics
Regularized learning in Banach spaces as an optimization problem: representer theorems
Journal of Global Optimization
A study on output normalization in multiclass SVMs
Pattern Recognition Letters
Hyperdisk based large margin classifier
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Vector-valued reproducing kernel Banach spaces with applications to multi-task learning
Journal of Complexity
A unified classification model based on robust optimization
Neural Computation
Approximate polytope ensemble for one-class classification
Pattern Recognition
Conjugate relation between loss functions and uncertainty sets in classification problems
The Journal of Machine Learning Research
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