On-Line Support Vector Machine Regression
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Dynamically-optimized context in recommender systems
Proceedings of the 6th international conference on Mobile data management
Incremental training of support vector machines using hyperspheres
Pattern Recognition Letters
Active Learning with Feedback on Features and Instances
The Journal of Machine Learning Research
Real-time ranking with concept drift using expert advice
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Collaborative Target Classification for Image Recognition in Wireless Sensor Networks
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
An Incremental Feature Learning Algorithm Based on Least Square Support Vector Machine
FAW '08 Proceedings of the 2nd annual international workshop on Frontiers in Algorithmics
Online Clustering of Non-stationary Data Using Incremental and Decremental SVM
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
On-line independent support vector machines
Pattern Recognition
Image and Vision Computing
Beyond online aggregation: parallel and incremental data mining with online Map-Reduce
Proceedings of the 2010 Workshop on Massive Data Analytics on the Cloud
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Dynamic neural fuzzy inference system
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Evolving fuzzy medical diagnosis of Pima Indians diabetes and of dermatological diseases
Artificial Intelligence in Medicine
Proceedings of the 1st ACM International Health Informatics Symposium
Selective sampling techniques for feedback-based data retrieval
Data Mining and Knowledge Discovery
Enabling fast prediction for ensemble models on data streams
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
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
Ensemble of SVMs for incremental learning
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
A gradual training algorithm of incremental support vector machine learning
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Incremental training of support vector machines using truncated hypercones
ANNPR'06 Proceedings of the Second international conference on Artificial Neural Networks in Pattern Recognition
A dynamic model selection strategy for support vector machine classifiers
Applied Soft Computing
Efficient data update for location-based recommendation systems
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part III
Online annotation of faces in personal videos by sequential learning
Multimedia Tools and Applications
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SVMs suffer from the problem of large memory requirement and CPU time when trained in batch mode on large data sets. We overcome these limitations, and at the same time make SVMs suitable for learning with data streams, by constructing incremental learning algorithms.We first introduce and compare different incremental learning techniques, and show that they are capable of producing performance results similar to the batch algorithm, and in some cases superior condensation properties. We then consider the problem of training SVMs using stream data. Our objective is to maintain an updated representation of recent batches of data. We apply incremental schemes to the problem and show that their accuracy is comparable to the batch algorithm.