This paper studies models for discrete outcomes which permit explanatory variables to be endogenous. In these models there is a single nonadditive latent variate which is restricted to be locally independent of instruments. The models are incomplete; they are silent about the nature of dependence between the latent variate and the endogenous variable and the role of the instrument in this relat...

In order to improve the accuracy of data-mining in large-scale complex networks, an incremental subspace data-mining algorithm based on data-flow density of complex network is proposed in this paper. In order to accommodate this goal, a latent variable model is first introduced and incorporated into Data-flow density model so that the network is divided into different communities and the defect...

web search engines are one of the most popular tools on the internet which are widely-used by expert and novice users. constructing an adequate query which represents the best specification of users’ information need to the search engine is an important concern of web users. query expansion is a way to reduce this concern and increase user satisfaction. in this paper, a new method of query expa...

The emerging paradigm of urban computing aims to infer latent patterns from various aspects a city's environment and possibly identify their hidden correlations by analyzing big data. This article provides fine-grained analysis air quality diverse sensor data streams retrieved regions in the city London. derives spatio-temporal patterns, that is, across different location categories time spans,...