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The relatively optimal fixed parameter settings for KNN imputation for software quality data is also determined.
The results show each method to provide significantly better fit than a pooled, fixed parameter model.
The material presented has relevance also to non-adaptive, fixed parameter control systems.
Data reduction is a key technique in the study of fixed parameter algorithms.
The performance of fixed parameter regularization was comparable to that of the L-curve method.
Abstract:We consider the generic problem of performing sequential Bayesian inference in a state-space model with observation process y, state process x and fixed parameter theta.
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In other words, the level of cooperation converges to a fixed, parameter-dependent value.
Both the Undirected and Directed Eulerian Edge Deletion problems are fixed- parameter tractable with parameter k.
Raising the Bar for Vertex Cover: Fixed-parameter Tractability Above a Higher Guarantee.
Obtained result is compared with that of the previous fixed-parameter probabilistic PSSs.
Fixed-parameter tractability.
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