Recently Vehicular Ad-hoc Network (VANET) has gained great exposure for its emerging
applications and becoming an essential part of human daily life. VANET can broadcast safety …

… As mentioned earlier, salient typicality gradients have always been found in common
categories. In addition, common categories exhibit another form of graded structure: When subjects …

… explanations, resorting to ad hoc heuristics such as personal … g’s weights with f’s gradients
alone or with f’s gradients … the scale of gradients while others on the scale of gradient-times…

… labels and use the model’s output as confidence weights for the student model. [5] shows …
5 by stochastic gradient descent, where we perform Gibbs sampling to estimate the gradient at …

… Given these modeling assumptions, the topology of an ad hoc … The weight of a link is the
Euclidean distance between the … In particular, the curve experiences a smaller gradient as r0 …

… We focus on gradient-based methods that are widely used for computing the optimal resource
allocations in wireless communication … The gradient method searches the optimum point …

… subgradient and the accelerated weighted gradient methods, are … We found that the accelerated
weighted gradient methods … In this paper, the Metropolis-Hastings weight selection using …

… speed neural network localization Model for Ad-Hoc network without having to compute the
… the neural network error with respect to the weights and biases. The Jacobian matrix can be …

… two steps: a local stochastic gradient descent at each agent and a … Applications to power
allocation in wireless ad-hoc networks … is the weight given byagent tothemessagereceivedfrom …

… such as word2vec, are suitable for ad hoc ranking. Instead, it … gradients from the loss function
(Eq. 7) to the ranking score f (q,d), to increase it (for d+) or decrease it (for d−); the gradients …