We provide a method for approximating Bayesian inference using rejection sampling. We not only make the process efficient, but also dramatically reduce the memory required relative to conventional methods by combining rejection sampling with particle filtering. We also provide an approximate form of rejection sampling that makes rejection filtering tractable in cases where exact rejection sampl...

in recent year, the evolutionary structural optimization (eso) method, has been applied as an effective tool for structures design. the concept of eso method is to use the finite element  results in each iteration of process and removal of inefficient material based on these results. in this method there are several experimental parameters such as rejection rate and evolutionary rate that are e...

tooth transplantation from one individual to another is a method of replacing missing teeth. this method can be used as an applicable clinical treatment technique due to its numerous advantages .there are different methods of tooth transplantation. among those, the safest and healthiest is transplantation of non-vital teeth or allostatic transplantation. in this method, the risk of antigenicity...

there are limited clinical investigations identifying the percentage of t helper 1 (th1) and t regulatory (treg) cells in stable as well as rejected kidney allografts, a concept which needs to be more studied. the aim of our study was to compare the percentage of cd4+ ifn-γ+ cells, the number of ifn-γ secreting cells and the amount of foxp3 expression in patients with or without stable graft fu...

This paper presents a new method for viewpoint invariant pedestrian recognition problem. We use a metric learning framework to obtain a robust metric for large margin nearest neighbor classification with rejection (i.e., classifier will return no matches if all neighbors are beyond a certain distance). The rejection condition necessitates the use of a uniform threshold for a maximum allowed dis...

We propose a new hierarchical design method, weighted support vector (WSV) k-means clustering, to design a binary hierarchical classification structure. This method automatically selects the classes to be separated at each node in the hierarchy, and allows visualization of clusters of high-dimensional support vector data; no prior hierarchical designs address this. At each node in the hierarchy...

Rule-based models, which are typically formulated to represent cell signaling systems, can now be simulated via various network-free simulation methods. In a network-free method, reaction rates are calculated for rules that characterize molecular interactions, and these rule rates, which each correspond to the cumulative rate of all reactions implied by a rule, are used to perform a stochastic ...