It is well recognized that community safety which affects people’s right to live without fear of crime has considerable impacts on housing investments. Housing investors can make more informed decisions if they are fully aware of safety related factors. To this end, we develop a safety-aware house ranking method by incorporating community safety into house assessment. Specifically, we first pro...

This paper presents a method for adaptively re-ranking paraphrases in a Spoken Dialogue System (SDS) according to their predicted Text To Speech (TTS) quality. We collect data under 4 different conditions and extract a rich feature set of 55 TTS runtime features. We build predictive models of user ratings using linear regression with latent variables. We then show that these models transfer to ...

Nonlinear dimensionality reduction aims at providing lowdimensional representions of high-dimensional data sets. Many new methods have been proposed in the recent years, but the question of their assessment and comparison remains open. This paper reviews some of the existing quality measures that are based on distance ranking and K-ary neighborhoods. Many quality criteria actually rely on the a...

one of the serious problems of iran’s watersheds is soil erosion and can be considered as one of the main obstacles to achieve sustainable agricultural development and natural resources. in most countries of the world, because of absence of accurate data for the sediment erosion, deposition utilizing models to estimate erosion is inevitable. in order to apply effective management in natural res...

today, the knowledge of regions’ strong and weak points and the existing gaps between regions is necessary for better planning and programming to deal with them. using such indexes as economic, sociologic, cultural, sanitary and other indexes which can be good criteria for the position and place determination of these quotients, is the main solving problem factor to achieve economic welfare, so...