Topological representations are being used to define geometric models suitable for grid generation and grid generation tools are being developed that work directly on topological ...
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
We present a generic mobility and traffic generation framework that can be incorporated into a tool for modeling and simulating large scale ad hoc networks. Three components of thi...
Christopher L. Barrett, Madhav V. Marathe, James P...
We consider a setting for discriminative semisupervised learning where unlabeled data are used with a generative model to learn effective feature representations for discriminativ...
Automated user-interface generation environments have been criticized for their failure to deliver rich and powerful interactive applications [18]. To specify more powerful system...