The generative aspect model is an extension of the multinomial model for text that allows word probabilities to vary stochastically across docu­ ments. Previous results with aspect models have been promising, but hindered by the computa­ tional difficulty of carrying out inference and learning. This paper demonstrates that the sim­ ple variational methods of Blei et a!. (200 I) can lead to inac...

We reinterpret the modal-calculus 16] to act over expectations rather than predicates, where expectations generalise predicates by taking states into the interval 0; 1] rather than the two-point set f0; 1g; our interest is in the idioms of the-calculus that correspond to operators of temporal logic, in particular in establishing reasoning principles for them. Our model includes both probabilist...

Measurements on current quantum processors are subject to hardware imperfections that lead readout errors. These errors manifest themselves as a bias in expectation values. Here, we propose very simple method forces the value appear multiplicative factor can be measured directly and removed at cost of an increase sampling complexity for observable. The assumes no specific form noise, but only r...

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The model RecMap for high-level vision, based on the DUAL architecture, is founded on the assumption that analogy-making lies at the core of human cognition. According to the model, vision is a constructive process of continuous generation and verification of hypotheses. However, the same principle can be applied to the domain of social cognition to account for various observed effects such as ...

This study’s purpose was to synthesize the user network (including subjective norm and network externality), task-technology fit (TTF), and expectation–confirmation model (ECM) to explain nurses’ intention to continue using the blended electronic learning (e-learning) system within medical institutions. A total of 450 questionnaires were distributed to nurses, of which, 352 (78.2%) questionnair...