Search results for "Early stopping"
showing 3 items of 3 documents
Statistical criteria for early-stopping of support vector machines
2007
This paper proposes the use of statistical criteria for early-stopping support vector machines, both for regression and classification problems. The method basically stops the minimization of the primal functional when moments of the error signal (up to fourth order) become stationary, rather than according to a tolerance threshold of primal convergence itself. This simple strategy induces lower computational efforts and no significant differences are observed in terms of performance and sparsity.
Quantile regression via iterative least squares computations
2012
We present an estimating framework for quantile regression where the usual L 1-norm objective function is replaced by its smooth parametric approximation. An exact path-following algorithm is derived, leading to the well-known ‘basic’ solutions interpolating exactly a number of observations equal to the number of parameters being estimated. We discuss briefly possible practical implications of the proposed approach, such as early stopping for large data sets, confidence intervals, and additional topics for future research.
Early virologic response with pegylated interferons
2004
Abstract Recently, 12-week evaluation of viral response has been recommended as a means of reducing antiviral treatment morbidity and costs. The development of early stopping rules relies on an important assumption: rules must minimise discontinuation of treatment in patients who might ultimately respond after completion of the full course of therapy. Minimising loss of potential responders is the most important clinical goal in defining an early stopping rule because it provides the most sustained virological responders. This definition of the rule relies on maximising the negative predictive value. Conversely, rules that select patients based on optimising the positive predictive value pr…