For binary classification we establish learning rates up to the order of n−1 for support vector machines (SVMs) with hinge loss and Gaussian RBF kernels. These rates are in terms of two assumptions on the considered distributions: Tsybakov’s noise assumption to establish a small estimation error, and a new geometric noise condition which is used to bound the approximation error. Unlike previous...

We define a complexity class for randomized algorithms with one-sided error that is exactly equal to a constant (unlike the usual definitions, in which the error is only bounded above or below by a constant). We show that the corresponding quantum classes (one each for a different error probability) are in fact all equivalent to each other and to EQP, the quantum analogue of P. The technique us...

An error-resilient coding scheme is proposed for the transmission of images over unreliable channels. Forward Error Correction is used in conjunction with the error-resilient source coder for the protection of the compressed stream. Unlike almost all other robust coding schemes presented todate, the proposed scheme is able to decode portions of the bitstream even after the occurrence of uncorre...

The dot diffusion method for digital halftoning has the advantage of parallelism unlike the error diffusion method. The method was recently improved by optimization of the so-called class matrix so that the resulting halftones are comparable to the error diffused halftones. In this paper, we will give a mathematical description of the dot diffusion method. This description is then applied in in...

background: medication errors due to different reasons may alter the outcome of all patients, especially patients with drug poisoning. we introduce one of the most common type of medication error in the present article. case: a 48 year old woman with suspected organophosphate poisoning was died due to lethal medication error. unfortunately these types of errors are not rare and had some prevent...

in this paper, forecasting error for state tax revenues is assessed. for this purpose, using the regression equation, statistical index, and mean percent error, root mean square error, mean absolute percent error and error analysis of tile inequality coefficients are applied on anticipated revenue from taxes on legal entities, income taxes, wealth tax, taxes on imports and taxes on consumption ...