The need for service providers to offer SLAs to gain consumers confidence has become increasingly apparent. Our work focuses on providers who manage the execution of long-running d...
Daniel Spaven, Madhavi Rani, Sumit Kumar Bose, Mik...
Partially Observable Markov Decision Processes have been studied widely as a model for decision making under uncertainty, and a number of methods have been developed to find the s...
We present a novel Text-to-Picture system that synthesizes a picture from general, unrestricted natural language text. The process is analogous to Text-to-Speech synthesis, but wi...
Xiaojin Zhu, Andrew B. Goldberg, Mohamed Eldawy, C...
Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors...
In this paper, we present methods to analyze dialog coherence that help us to automatically distinguish between coherent and incoherent conversations. We build a machine learning ...