Since the advent of the Netflix Prize [1], there has been an influx of papers on recommender systems in machine learning literature. A popular framework to build such systems has been collobarative filtering (CF) [6]. On the Netflix dataset, CF algorithms were one of the few stand-alone methods shown to have superior performance. Recently, web services such as Foursquare and Facebook Places sta...

With the development of domestic economy and improvement people’s living standard, tourism has become more popular as a leisure lifestyle. The explosive growth mobile Internet caused problem “information overload”. travel recommendation system can help tourists obtain information that users are interested in from massive data. Ecological health is special product with ecological environment bac...

In view of Albert's classical result that the dimension of each ordered, associative proper algebra over its center is necessarily infinite (cf. [1]), it seems not unlikely that a similar statement also holds for the rank of each proper formally real quasifield F, i.e. for the dimension of F over its kernel. Indeed, for some classes of ordered near fields and for ordered quasifields admitting a...

  In this paper, we propose a nonparametric rank-based alternative to the least-squares independent component analysis algorithm developed. The basic idea is to estimate the squared-loss mutual information, which used as the objective function of the algorithm, based on its copula density version. Therefore, no marginal densities have to be estimated. We provide empirical evaluation of th...

Pseudomonas cepacia has recently emerged as an important pathogen affecting cystic fibrosis (CF) patients. We evaluated three selective media to assess their comparative potential for identification of patients colonized with P. cepacia and for efficacy of detection of P. cepacia in environmental fluids. Test organisms included P. cepacia isolates from CF patients (10 each from two CF centers),...

BACKGROUND Renal failure requiring renal replacement therapy (RRT) has detrimental effects on quality of life and survival of patients with continuous-flow left ventricular assist devices (CF-LVADs). Current guidelines do not offer a decision-making algorithm for CF-LVAD candidates with poor baseline renal function. Objective of this study was to identify risk factors associated with RRT after ...

In this paper we tackle the problem of recommendation in the scenarios with binary relevance data, when only a few (k) items are recommended to individual users. Past work on Collaborative Filtering (CF) has either not addressed the ranking problem for binary relevance datasets, or not specifically focused on improving top-k recommendations. To solve the problem we propose a new CF approach, Co...

In this letter, the problem of implementing compute and forward (CF) is addressed. We present a practical signal model to implement CF which is built on the basis of Gaussian integer lattice partitions. We provide practical decoding functions at both relay and destination nodes thereby providing a framework for complete analysis of CF. Our main result is the analytical derivation and simulation...