Abstract Mobile computing systems should be selfmanaged to simplify operation and maintenance plus meet user's expectation with respect to Quality of Service (QoS). When archi...
Current speech recognition systems are often based on HMMs with state-clustered Gaussian Mixture Models (GMMs) to represent the context dependent output distributions. Though high...
This paper studies specific language level abstractions for component-based programming. We propose a simple model which captures some basic ingredients — like explicit context ...
Currently, few tools are available for assisting developers with debugging intelligent systems. Because these systems rely heavily on context dependent knowledge and sometimes sto...
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to learn the grammatical rules and context dependent changes using ...