The importance of assumptions in Requirements Engineering has long been recognised. However, to the best of our knowledge, no quantitative models for the relation between assumpti...
Andriy V. Miranskyy, Nazim H. Madhavji, Matthew Da...
Representing documents by vectors that are independent of language enhances machine translation and multilingual text categorization. We use discriminative training to create a pr...
We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called “GaP” for Gamma-Poisson, the distri...
Researchers have been working on human face recognition for decades. Face recognition is hard due to different types of variations in face images, such as pose, illumination and e...
We present a probabilistic program-transformation algorithm to render a given program tamper-resistant. In addition, we suggest a model to estimate the required effort for an atta...
Nenad Dedic, Mariusz H. Jakubowski, Ramarathnam Ve...