Determinantal point processes (DPPs) are an elegant model for encoding probabilities over subsets, such as shopping baskets, of a ground set, such as an item catalog. They are useful for a number of machine learning tasks, including product recommendation. DPPs are parametrized by a positive semi-definite kernel matrix. Recent work has shown that using a low-rank factorization of this kernel pr...

In the study, some bivariate distributions were developed from mixture model offspring, using Independent (Product) distribution approach. These developments are categorized under IID and IInD: where Bivariate Exponential distribution, Lindley Juchez constructed as IIDs; Exponential-Lindley Exponential-Juchez Lindley-Juchez (IInDs). The properties of these which involve: shape PDFs, moments, mo...

This chapter provides the engineer and the researcher with correlations and models for the prediction of the critical aspects of the boiling heat transfer of mixtures. This chapter offers a reliable, hands-on resource for solving common problems across pool boiling and flow boiling applications such as miscible mixtures, refrigerant/lubricant mixtures, additives, and refrigerant/nanolubricants....

a three dimensional, compressible, steady, one phase flow of reactant-product mixture in the air side electrode of proton exchange membrane fuel cell (pemfc) is numerically studied in this paper. the mixture is composed of three species: oxygen, nitrogen and water vapor. the performance of the cell is enhanced by partial blockage of the flow field channels. various types of these blocks also ca...

using modern irrigation methods such as border irrigation is one way for an optimum usage of water. potato, for this study, was cultured in a farm located at kermanshah faculty of agriculture to evaluate the efficiency of border irrigation. the culture potato was the agria variety and the applied treatment were 50, 75, and 100 percent of potato plant`s water requirement. tapes were 12 m and the...