Abstract This paper surveys the literature on certificateless encryption schemes. In particular, we examine the large number of security models that have been proposed to prove the...
The purpose of this paper is to model the stochastic behavior of the nodal prices of electricity in deregulated markets in the USA, and in particular, to explain how this behavior...
We describe a method for generating N-best configurations from part-based models, ensuring that they do not overlap according to some user-provided definition of overlap. We ext...
Constraining and input biasing are frequently used techniques in functional verification methodologies based on randomized simulation generation. Constraints confine the simulatio...
Jun Yuan, Kurt Shultz, Carl Pixley, Hillel Miller,...
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...