Conserved motifs in biological sequences are closely related to their structure and functions. Recently, discriminative motif discovery methods have attracted more and more attention. However, little attention has been devoted to the data imbalance problem, which is one of the main reasons affecting the performance of the discriminative models. In this article, a simulated evolution method is a...

The CV-S method is a high-efficiency random sampling to estimate statistical moments of variables, and it uses an approximated target parameter which are linearly dependent on input as mockup parameter. In order enhance the applicability method, we propose use different from but similar whose sensitivity coefficients available. present work, nuclear fuel burnup problems concerned, standard devi...

-The present paper deals with a modification on the selection of linear systematic sample of odd size. Consequently the proposed method is called modified linear systematic sampling. The performances of the modified linear systematic sampling are assessed with that of simple random sampling and linear systematic sampling for certain hypothetical populations. As a result, it is observed that the...

In this paper we review some of the state of the art techniques for parasitic interconnect extraction in the presence of random geometrical variations due to uncertainties in the manufacturing processes. We summarize some of the most recent development in both sampling based (non-intrusive) and expansion based (intrusive) algorithms for the extraction of both general impedance and capacitance i...

This article describes two probability sampling approaches to sampling water resources. In the rst approach, a complete enumeration of eligible sample units (e.g. stream segments, water bodies, drainage basins) is performed using GIS or paper maps to create a list frame. A probability random sample is then selected from this frame. In the second approach, a two-stage sample is selected. In the ...

1.0 Introduction Replication variance estimation for a two-stage nested sample design is usually implemented by generating replicate samples (weights) that replicate the original first-stage sample selection. Since the second-stage is nested, the second-stage variance can be reflected by associating each second-stage unit with its respective first-stage unit in each firststage replicate sample....

This paper proposes a sampling based planning algorithm to control autonomous vehicles. We propose an improved Rapidly-exploring Random Tree which includes the definition of Knearest points and propose a two-stage sampling strategy to adjust RRT in other to perform maneuver while avoiding collision. The simulation results show the success of the algorithm.

As indicated in Bookstein’s introduction [l] sampling is one of the most heavily used methodologies in library research. Moreover, sampling in libraries is not confined to library research alone: also other disciplines occasionally use this technique for research purposes. In this paper we will give a new and complete proof that Fussler’s sampling technique is always better than sampling by len...

In this paper, two methods are proposed which address the random sampling and compressed sensing recovery problems. The proposed random sampling recovery method is the Iterative Method with Adaptive Thresholding and Interpolation (IMATI). Simulation results indicate that the proposed method outperforms existing random sampling recovery methods such as Iterative Method with Adaptive Thresholding...