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We propose new clustering assignment strategy which can reduce the clustering assignment for N samples in the entire training set to the same task for M equilibrium points where M is usually very small comparing with N. Comparing with the conference version [16], this paper presents a more rigorous convergence analysis with the full proofs and explanations.
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Thus, although the explanation of adaptive convergence related to foot-propelled diving remains a tempting explanation for the loon/grebe signal in morphological datasets, more rigorous functional and comparative phylogenetic analyses are needed to support this claim.
The minimalists were more rigorous.
So was adjusting to more rigorous competition.
There are more rigorous performance standards.
I know which is more rigorous.
Rigorous convergence proofs along with stability analysis are provided.
The stage is more rigorous.
Guess which is more rigorous?
What about something more rigorous?
But more rigorous training means more rigorous testing.
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