Convergence of large margin separable linear classification
Tong Zhang
NeurIPS 2000
We introduce new two-sided Arnoldi recursions and use them to define a model reduction procedure for large, linear, time-invariant, multi-input/multi-output differential algebraic systems. We prove that this procedure has desirable moment matching properties. We define a corresponding model reduction procedure which is based on a band nonsymmetric Lanczos recursion and prove that if the deflation is exact and there are no breakdowns in the recursions, then these two model reduction procedures generate identical reduced-order systems. We prove similar equivalences for corresponding eigenelement procedures. We concentrate on the theoretical properties of the new algorithms.
Tong Zhang
NeurIPS 2000
Tong Zhang
NeurIPS 2000
Rie Kubota Ando, Tong Zhang
NeurIPS 2006
Tong Zhang, Fred Damerau, et al.
CoNLL 2003