Time delay neural networkTime delay neural network (TDNN) is a multilayer artificial neural network architecture whose purpose is to 1) classify patterns with shift-invariance, and 2) model context at each layer of the network. Shift-invariant classification means that the classifier does not require explicit segmentation prior to classification. For the classification of a temporal pattern (such as speech), the TDNN thus avoids having to determine the beginning and end points of sounds before classifying them.
Computational economicsComputational Economics is an interdisciplinary research discipline that involves computer science, economics, and management science. This subject encompasses computational modeling of economic systems. Some of these areas are unique, while others established areas of economics by allowing robust data analytics and solutions of problems that would be arduous to research without computers and associated numerical methods.
CouEn anatomie, le cou est, chez un certain nombre de vertébrés, la région du corps qui est située entre la tête et le thorax. Le cou a plusieurs fonctions : il soutient et donne à la tête sa mobilité, laisse passage à plusieurs éléments viscéraux du système nerveux, des appareils digestif, ventilatoire et phonatoire, permet la vascularisation de la tête et joue un rôle dans le métabolisme général et phosphocalcique. vignette|Les muscles superficiels du cou. Face latérale vignette|Les muscles superficiels du cou.
Evaluation of binary classifiersThe evaluation of binary classifiers compares two methods of assigning a binary attribute, one of which is usually a standard method and the other is being investigated. There are many metrics that can be used to measure the performance of a classifier or predictor; different fields have different preferences for specific metrics due to different goals. For example, in medicine sensitivity and specificity are often used, while in computer science precision and recall are preferred.
