By Herschell E Filipowski
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4 Q. Wu, S. Liu, and L. Zhang Table 1. 3 5 Conclusion Due to the fact that training phase will occupy main time, the new algorithm proposed in this paper can greatly reduce computational cost and training time. The new multiplicative updates are straightforward to implement and have a rigorous guarantee of monotonic convergence. Acknowledgements We would like to thank the anonymous reviewers for their valuable comments and suggestions. 60574075 References 1. Lee. Multiplicative updates for nonnegative quadratic programming in support vector machines.
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A table of anti-logarithms to seven places and Gauss logarithms by Herschell E Filipowski