Although little cross-linguistic work has been undertaken so far, the descriptionsand examples of classifiers in various sign languages appear quite similar (except forthe classifier inventories, although there, too, many similarities exist). Therefore, in thischapter, the phenomenon of classifiers will...
a prerequisite for acceptance, especially if the systems are based on some model or technique that is not directly understandable by the users. This need lies, in particular, at the basis of the rapid growth of the research field of explainable AI (XAI) in recent ...
What is both hands CL:3 and goes up and down at waist level ? Refrigerator What is (2h)CL:R at shoulders and shake back and forth? Closet What is One hand is shaped “1” the other is shaped “X”. Have the X drag across the 1? This is the correct order in ASL. What is To...
Examples of RXs for the running example are shown as graphs in Fig. 1 (where the nodes also indicate the values ascribed to the feature variables in the input x and to the class variables by any of the toy classifiers in Tables 1 and 2). Here, (iii) satisfies dialectical DA, since ...
PCA only focuses on the variance of the target set, a drawback is that PCA is not able to include negative examples in the training set. In this paper, a threshold of 10% was set for accepting outliers which gave the best performance. 3. Results and Discussion The performance of the ...
Additionally, the number of randomly chosen variables at each split was tuned from one to 16 in RF. The naïve Bayes classifier was optimized with a Gaussian kernel of data-driven bandwidth. The number of closest training examples (k) in kNN was tuned to define the value of k that ...
Algorithmic level Data level solutions result in a balanced data distribution among the class labels by redistributing the samples in the data space. Sampling is an elementary technique to achieve class distribution balance within a dataset, either by adding examples into the minority class called as...