| In this paper, we present new statistical sampling techniques for performing power estimation at the circuit level. These techniques rst transform the power estimation problem to a survey sampling problem, then apply stratiied random sampling to improve the eeciency of sampling. The stratiication is based on a low-cost predic-tor, such as zero delay power estimates. We also propose a two-stag...

Descriptive Experience Sampling (DES) is a method for exploring inner experience. DES subjects carry a random beeper in natural environments; when the beep sounds, they capture their inner experience, jot down notes about it, and report it to an investigator in a subsequent expositional interview. DES is a fundamentally idiographic method, describing faithfully the pristine inner experiences of...

The word2vec software of Tomas Mikolov and colleagues has gained a lot of traction lately, and provides state-of-the-art word embeddings. The learning models behind the software are described in two research papers [1, 2]. We found the description of the models in these papers to be somewhat cryptic and hard to follow. While the motivations and presentation may be obvious to the neural-networks...

In wireless sensor networks sampling time interval and the number of nodes involved in each stage of tracking are important factors which have high effect on the efficiency of target tracking applications. In this paper a new target tracking method has been proposed which at each time step employs two helpful tools. First, an extended Kalman filter (EKF)-based estimation technique to predict th...

Decimator is an important sampling device used for multi-rate signal processing in wireless communication systems. Multirate systems have traditionally played the important role in compression for contemporary communication application.In this paper it demonstrated that a multistage implementation of sampling rate conversion often provides for a more efficient realization, especially when filte...

Kernel related algorithms, including spectral techniques, have found their use in a variety of fields. However, the construction and eigendecomposition of the Gram matrix necessitate efforts to reduce the computational overhead. One particular interesting approach used for this purpose is Nyström method. In this paper, we study the sampling problem for Nyström method. To measure the quality of ...

in the present study, through the application of self-determination theory the impact of work climate and social network size on the volunteers motivation were investigated. research type of this study is applied and research method type is descriptive. in this study active volunteers of tehran red crescent society were selected as statistical population .concerning the population of studied ce...

In the note we consider an iterative generalisation of the rejection sampling method. In high energy physics, this sampling is frequently used for event generation, i.e. preparation of phase space points distributed according to a matrix element squared |M |2 for a scattering process. In many realistic cases |M |2 is a complicated multi-dimensional function, so, the standard von Neumann procedu...

Learning to rank (L2R) algorithms use a labeled training set to generate a ranking model that can later be used to rank new query results. These training sets are costly and laborious to produce, requiring human annotators to assess the relevance or order of the documents in relation to a query. Active learning algorithms are able to reduce the labeling effort by selectively sampling an unlabel...