Collection of appropriate qualitative and quantitative data is necessary for proper management and planning. Used the suitable inventory methods is necessary and accuracy of sampling methods dependent the inventory net and number of sample point. Nearest neighbor sampling method is a one of distance methods and calculated by three equations (Byth and Riple, 1980; Cotam and Curtis, 1956 and Cota...

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...

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 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...

This paper introduces a new BRDF sampling method with reduced variance, which is based on a hierarchical adaptive parameterless PDF. This PDF is based also on rejection sampling with a bounded average number of trials, even in regions where the BRDF does exhibit high variations. Our algorithm works in an appropiate way with both physical and analytical reflectance models. Reflected directions a...