Binary codeAMDS codeIn this paper non-trivial non-linear binary systematic AMDS codes are classified in terms of their weight distributions, employing only elementary techniques. In particular, we show that their length and minimum distance completely determine the weight distribution....
For binary classification, if you set a fraction of expected outliers in the data, then the default solver is the Iterative Single Data Algorithm. Like SMO, ISDA solves the one-norm problem. Unlike SMO, ISDA minimizes by a series on one-point minimizations, does not respect the linear const...
One of the popular methods for multi-class classification is to combine binary classifiers. In this paper, we propose a new approach for combining binary classifiers. Our method trains a combining method of binary classifiers using statistical techniques such as penalized logistic regression, stacking,...
You can set the true misclassification cost per class by using theCostname-value argument when you create the classifier.Cost(i,j)is the cost of classifying an observation into classjwhen its true class isi. By default,Cost(i,j)=1ifi~=j, andCost(i,j)=0ifi=j. In other words, the ...
4 presented a similar system trained and tested on the radiographs from their institution, wherein they achieved an AUC of 0.96 on the normal versus abnormal classification task, and they compared (1) the impact of different CNN architectures for binary classification, (2) the effect of training...
For binary classification: yjis the observed class label. The software codes it as –1 or 1, indicating the negative or positive class (or the first or second class in theClassNamesproperty), respectively. f(Xj) is the positive-class classification score for observation (row)jof the predicto...
Binary kernel classification model, specified as a ClassificationKernel model object. You can create a ClassificationKernel model object using fitckernel. X— Predictor data n-by-p numeric matrix Predictor data, specified as an n-by-p numeric matrix, where n is the number of observations and p...
The $\mathbb{Z}_2\mathbb{Z}_4\mathbb{Z}_8$-additive codes are subgroups of $\mathbb{Z}_2^{\alpha_1} imes \mathbb{Z}_4^{\alpha_2} imes \mathbb{Z}_8^{\alpha_3}$. A $\mathbb{Z}_2\mathbb{Z}_4\mathbb{Z}_8$-linear Hadamard code is a Hadamard code which is the Gray ...
Binary linear codeChain conditionDifference sequenceThe weight hierarchy of a binary linear [n, k] code C is the sequence (d 1, d 2, . . . , d k ), where d r is the smallest support of an r-dimensional subcode of C. The codes of dimension 4 are collected in classes and the ...
We trained a large, deep convolutional neural network to classify the1.2 million high-resolution images in the ImageNet LSVRC-2010 contestinto the 1000 different classes. On the test data, we achieved top-1 and top5 error rates of 37.5% and 17.0% which is considerably better than the...