At first, George Boole introduced conditional propositions as the basis for better development of propositional logic. A compound statement composed two atomic statements (antecedent and consequent) by connective 'if—then' is called For example: "If it raining, then roads are wet". Here first this proposition, 'It raining,' antecedent, second, 'the wet,' consequent. The material in which false ...

Abstract Epistemic contradictions are now a well-known and often discussed phenomenon among those who study epistemic modals. These expressed by sentences like ‘It is raining it might not be raining’ whose oddness to the common ear demands an explanation. However, has turned out rather controversial enterprise provide such explanation in sufficiently precise general manner. According pragmatic ...

Multi-scale architectures and attention modules have shown effectiveness in many deep learning-based image de-raining methods. However, manually designing integrating these two components into a neural network requires bulk of labor extensive expertise. In this article, high-performance multi-scale attentive architecture search (MANAS) framework is technically developed for deraining. The propo...

The ALVINN (Autonomous Land Vehicle In a Neural Network) project addresses the problem of training arti cial neural networks in real time to perform di cult perception tasks. ALVINN is a back-propagation network designed to drive the CMU Navlab, a modi ed Chevy van. This paper describes the training techniques which allow ALVINN to learn in under 5 minutes to autonomously control the Navlab by ...

We give an example of a neural net withou t hidden layers and with a sigmoid transfer funct ion, together with a training set of binary vectors, for which the sum of the squared errors, regarded as a function of the weights, has a local minimum which is not a global minimum. The example consists of a set of 125 t raining instances, with four weights and a th reshold to be learned. We do not kno...