SVM LAIS stands for Support Vector Machine for learning in Artificial Intelligence System. SVM is a concept incomputer science for a set of related supervised learningmethods that analyze data and recognize patterns, used forclassification and regression analysis. The standard SVMtakes a set of input...
self.train_x = dataSet # each row stands for a sample self.train_y = labels # corresponding label self.C = C # slack variable self.toler = toler # termination condition for iteration self.numSamples = dataSet.shape[0] # number of samples self.alphas = mat(zeros((self.numSamples, 1)...
self.train_x = dataSet # each row stands for a sample self.train_y = labels # corresponding label self.C = C # slack variable self.toler = toler # termination condition for iteration self.numSamples = dataSet.shape[0] # number of samples self.alphas = mat(zeros((self.numSamples, 1)...
BERT: pre-training of deep bidirectional transformers for language understanding--- BERT--- byJacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova (Github) We introduce a new language representation model called BERT, which stands for Bidirectional Encoder Representations from Transformers. Unl...
where S stands for No. of seedings length (the length excluding the cotyledon but including the root system, and it is measured directly with a standard ruler). The structured light reflection image of soybean is obtained in the forward direction. Image acquisition conditions Before the formal ...
Here in this eq.\(\:{x}_{ab}\)and\(\:{x}_{a{\prime\:}b}\)are the ithpair of observations of the predictor, n is the number of predictors,\(\:\lambda\:\)is a tuning parameter that accounts for the smoothness of the decision boundary, and K stands for the kernel function. ...
In recent years, machine learning approaches have been successfully applied to the field of neuroimaging for classification and regression tasks. However, many approaches do not give an intuitive relation between the raw features and the diagnosis. Therefore, they are difficult for clinicians to interpr...
Classification and variable selection play an important role in knowledge discovery in high-dimensional data. Although Support Vector Machine (SVM) algorithms are among the most powerful classification and prediction methods with a wide range of scientif
FPR stands for False Positive Rate and is calculated as the number of false positive predictions divided by the total number of actual negatives. A high TPR indicates that the model is correctly identifying positive cases, while a low FPR indicates that the model is not falsely identifying ...
⊕ stands for entry wise multiplication, L(μ) suit distributed from Lévy and is a random flight step, where (1<μ<3). After updating the position, the probability pa is compared with a randomly generated number r∈(0,1). If pa>r the nest position remains the same and if pa<r, ...