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In this work, we propose contextual language models that incorporate dialog level discourse information into language modeling. Previous works on contextual language model treat preceding utterances as a sequence of inputs, without considering dialog interactions. We design recurrent neural network (RNN) based contextual language models that specially track the interactions between speakers in a dialog...
One promising way to improve the accuracy of fault localization based on statistical debugging is to increase diversity among test cases in the underlying test suite. In many practical situations, adding test cases is not a cost-free option because test oracles are developed manually or running test cases is expensive. Hence, we require to have test suites that are both diverse and small to improve...
Dynamic Bayesian Networks (DBNs) can serve as succinct probabilistic dynamic models of biochemical networks [CHECK END OF SENTENCE]. To analyze these models, one must compute the probability distribution over system states at a given time point. Doing this exactly is infeasible for large models; hence one must use approximate algorithms. The Factored Frontier algorithm (FF) is one such algorithm [CHECK...
In this paper, we propose a novel Volterra-based behavioral model for RF power amplifiers implemented through using a function of system's order(p) with sum of the memory length. The parameters of this model can be extracted in digital domain since the model is analyzed based on the envelope signals. This model enables a substantial reduction in the number of parameters involved, and good accuracy.
In this paper, the platform was the software of the real-time scenes of driver—Vega. As an example to the Huang Dao Campus of Shandong University of Science and Technology, this paper elaborated the method of developing a smart system based on Vega API. It focused on the optimization technology of 3d scene model data and fidelity during the construction of three-dimensional scene and the way of setting...
In this paper, an efficient and effective pruned Volterra model is used to describe Doherty power amplifier. Rather than adopting the “black-box” approach, this model is derived from a physically scheme referring to the Doherty power amplifier. To model a Doherty power amplifier with nonlinearities and memory effects, the amplifier is analyzed by two parts in consideration of the influence between...
In this paper, the platform is the software of the real-time scenes of driver-Vega. As an example to the campus of Huaihai Institute of Technology, this paper elaborates the method of developing a virtual simulation system based on Visual C++ and Vega API. It focuses on the optimization technology of 3d scene model data and fidelity during the construction of three-dimensional scene and the way of...
This article is based on Data mining technology how to apply in the personal credit. Using decision tree algorithm, supporting data processing methods and more potential information for firms in order to facilitate business-to-customer to take a different credit programs.
In this paper, after a brief overview of the existing methods, we present a new hierarchical classification algorithm based on quotient space theory of the granular computing. This algorithm deals with the samples from coarse to fine both in the training and testing processes. A group of classifiers are firstly trained by the samples generated under different quotient space. Then the trained classifiers...
Knowledge management (KM) has become an effective strategic tool to improve the organizational competition capacity in the age of knowledge economy. Knowledge management performance evaluation is an important way to know the knowledge management level of an enterprise. In this study, a knowledge management performance evaluation indices system was established based on knowledge management theory and...
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