Making large-scale support vector machine learning practical
Advances in kernel methods
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
On-line learning in neural networks
On-line learning in neural networks
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
On-line learning in changing environments with applications in supervised and unsupervised learning
Neural Networks - Computational models of neuromodulation
Machine Learning
Machine Learning
Mining the Web: Discovering Knowledge from HyperText Data
Mining the Web: Discovering Knowledge from HyperText Data
Neural Networks: Tricks of the Trade, this book is an outgrowth of a 1996 NIPS workshop
ON-LINE LEARNING OF LINEAR FUNCTIONS
ON-LINE LEARNING OF LINEAR FUNCTIONS
SVMTorch: support vector machines for large-scale regression problems
The Journal of Machine Learning Research
Core Vector Machines: Fast SVM Training on Very Large Data Sets
The Journal of Machine Learning Research
Estimating the Support of a High-Dimensional Distribution
Neural Computation
Fast Kernel Classifiers with Online and Active Learning
The Journal of Machine Learning Research
Input space versus feature space in kernel-based methods
IEEE Transactions on Neural Networks
The Interplay of Optimization and Machine Learning Research
The Journal of Machine Learning Research
Proceedings of the 24th international conference on Machine learning
Support vector regression for classifier prediction
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Stopping conditions for exact computation of leave-one-out error in support vector machines
Proceedings of the 25th international conference on Machine learning
Batch Support Vector Training Based on Exact Incremental Training
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Implementation Issues of an Incremental and Decremental SVM
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Learning to Trade with Incremental Support Vector Regression Experts
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
A Self-learning System for Detection of Anomalous SIP Messages
Principles, Systems and Applications of IP Telecommunications. Services and Security for Next Generation Networks
An adaptive personalized news dissemination system
Journal of Intelligent Information Systems
Incremental Kernel Machines for Protein Remote Homology Detection
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Large scale incremental web video categorization
WSMC '09 Proceedings of the 1st workshop on Web-scale multimedia corpus
Google challenge: incremental-learning for web video categorization on robust semantic feature space
MM '09 Proceedings of the 17th ACM international conference on Multimedia
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Adaptive constrained learning in reproducing Kernel Hilbert spaces: the robust beamforming case
IEEE Transactions on Signal Processing
CARRADS: Cross layer based adaptive real-time routing attack detection system for MANETS
Computer Networks: The International Journal of Computer and Telecommunications Networking
An effective incremental algorithm for ν-support vector machine
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Multiple incremental decremental learning of support vector machines
IEEE Transactions on Neural Networks
Proceedings of the 1st ACM International Health Informatics Symposium
An online incremental learning support vector machine for large-scale data
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
Condensed vector machines: learning fast machine for large data
IEEE Transactions on Neural Networks
Incrementally maintaining classification using an RDBMS
Proceedings of the VLDB Endowment
Accurate on-line ν-support vector learning
Neural Networks
Training support vector machines on large sets of image data
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Autonomous learning for detection of JavaScript attacks: vision or reality?
Proceedings of the 5th ACM workshop on Security and artificial intelligence
Information Sciences: an International Journal
Security analysis of online centroid anomaly detection
The Journal of Machine Learning Research
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Incremental Support Vector Machines (SVM) are instrumental in practical applications of online learning. This work focuses on the design and analysis of efficient incremental SVM learning, with the aim of providing a fast, numerically stable and robust implementation. A detailed analysis of convergence and of algorithmic complexity of incremental SVM learning is carried out. Based on this analysis, a new design of storage and numerical operations is proposed, which speeds up the training of an incremental SVM by a factor of 5 to 20. The performance of the new algorithm is demonstrated in two scenarios: learning with limited resources and active learning. Various applications of the algorithm, such as in drug discovery, online monitoring of industrial devices and and surveillance of network traffic, can be foreseen.