Although Advance Selling and Probabilistic Selling differ in both motivation and implementation, we argue that they share a common characteristic—both offer consumers a choice involving buyer uncertainty. We develop a formal model to examine the general economics of purchase options that involve buyer uncertainty, explore the differences in buyer uncertainty created via these two strategies, an...

in this paper, we introduce the  probabilistic normed groups. among other results, we investigate the continuityof inner automorphisms of a group and the continuity of left and right shifts in probabilistic group-norm. we also study midconvex functions defined  on probabilistic normed groups and  give  some results about locally boundedness of such  functions.

In this paper, we define the concepts of modified intuitionistic probabilistic metric spaces, the property (E.A.) and  the common property (E.A.) in   modified  intuitionistic probabilistic metric spaces.Then, by the commonproperty (E.A.), we prove some common fixed point theorems in modified intuitionistic Menger probabilistic metric spaces satisfying an implicit relation.

In this paper, the strengths of the checkpoint-orientated modeling in synchronizing cell population are highlighted. Through different experiments, this work shows how to synchronize a population of asynchronous and heterogeneous cells with our proposed model of cell cycle. We will show that the probabilistic modeling undertaken accurately reproduces the dynamics of cell population under specif...

High-performance data streaming technologies are increasingly adopted in IT companies to support the integration of heterogeneous and possibly distributed applications. Compared with traditional message queuing middleware, a platform enables implementation event-streaming systems (ESS) which include not only complex queues but also pipelines that transform react streams data. By analysing centr...

In this paper we describe our recent efforts to improve acousticphonetic modeling by developing sets of heterogeneous, phoneclass-specific measurements, and combining these diverse measurements into a probabilistic classification framework. We first describe a baseline classifier using homogeneous measurements. After comparing selected sub-tasks to known human performance, we define sets of pho...

In this paper, we introduce the  probabilistic normed groups. Among other results, we investigate the continuityof inner automorphisms of a group and the continuity of left and right shifts in probabilistic group-norm. We also study midconvex functions defined  on probabilistic normed groups and  give  some results about locally boundedness of such  functions.

Quantile Correlation Screening for Ultrahigh Dimensional Heterogeneous Data Xiaolin Chen, China University of Petroleum In this talk, we systematically investigate the quantile correlation sure independence screening (QC-SIS) for ultrahigh dimensional heterogeneous data. We unveil the question under which assumptions and correlation structures QC-SIS enjoys the ranking consistency and sure scre...

Non-negative matrix factorization (NMF) has become quite popular recently on the relational data due to its several nice properties and connection to probabilistic latent semantic analysis (PLSA). However, few algorithms take this route for the heterogeneous networks. In this paper we propose a novel clustering method for heterogeneous information networks by searching for a factorization that ...