Fuzzy Decision Tree (FDT) classifiers combine decision trees with approximate reasoning offered by fuzzy representation to deal with language and measurement uncertainties. When a FDT induction algorithm utilizes stopping criteria for early stopping of the tree's growth, threshold values of stopping criteria will control the number of nodes. Finding a proper threshold value for a stopping crite...

fuzzy decision tree (fdt) classifiers combine decision trees with approximate reasoning offered by fuzzy representation to deal with language and measurement uncertainties. when a fdt induction algorithm utilizes stopping criteria for early stopping of the tree's growth, threshold values of stopping criteria will control the number of nodes. finding a proper threshold value for a stopping crite...

The mean shift iterative algorithm was proposed in 2006, for using the entropy as a stopping criterion. From then on, a theoretical base has been developed and a group of applications has been carried out using this algorithm. This paper proposes a new stopping criterion for the mean shift iterative algorithm, where stopping threshold via entropy is used now, but in another way. Many segmentati...

improving the quality of medical images at pre and post-surgery operations are necessary for beginning and speeding up the recovery process. partial differential equations (pdes)-based models have become a powerful and well known tool in different areas of image processing such as denoising, multiscale image analysis, edge detection and other fields of image processing and computer vision. in t...

Previous divide-and-conquer segmentation analyses of DNA sequences do not provide a satisfactory stopping criterion for the recursion. This paper proposes that segmentation be considered as a model selection process. Using the tools in model selection, a limit for the stopping criterion on the relaxed end can be determined. The Bayesian information criterion, in particular, provides a much more...

The log-likelihood ratio test on a single check node within the LDPC decoder is monitored to develop a stopping criterion for the decoder that is better than previous stopping criteria, without sacrificing the BER performance. Simulation results are presented for the transmission of the rate 1 2 (288, 576) WiMAX 802.16e LDPC code digits using binary phase shift keying (BPSK) over an AWGN channel.

Abstract In transductive active learning, the goal is to determine correct labels for an unlabeled, known dataset. Therefore, we can either ask oracle provide right label at some cost or use prediction of a classifier which train on acquired so far. contrast, commonly used (inductive) learning aims select instances labeling out unlabeled set create generalized classifier, will be deployed unkno...

In this article, we propose a new stopping criterion for turbo codes. This is based on the behaviour of probabilistic values alpha ' α calculated in forward recursion during decoding. We called Sum-α. The simulation results show that Bit Error Rates BER are very close to those Cross-Entropy CE with same average number iterations.