The problem of designing input signals for optimal generalization is called active learning. In this article, we give a two-stage sampling scheme for reducing both the bias and variance, and based on this scheme, we propose two active learning methods. One is the multipoint search method applicable to arbitrary models. The effectiveness of this method is shown through computer simulations. The ...

Due to the explosive growth of data in every aspect of our life, data mining algorithms often suffer from scalability issues. One effective way to tackle this problem is to employ sampling techniques. This paper introduces, ML-DS, a novel deterministic sampling algorithm for mining association rules in large datasets. Unlike most algorithms in the literature that use randomness in sampling, our...

this study aimed to identify and rank the most important environmental factors for the popularity of recreational sports in iran. only those sensitive aspects of the environment to which recreational sports should react were considered in order to survive. this study was performed consecutively in two qualitative and quantitative phases by mixed heuristic method. for this purpose the experts of...

Secondary production estimates based on the size-frequency method can be improved through the use of optimal sample allocation without increasing the total sampling effort. We advocate a two-step procedure. First, sampling dates should be chosen to minimize bias. Then, sample sizes on each date should be allocated in such a way as to minimize variance. Calculating the optimal sample allocation ...

health lifestyle as a multi causal phenomenon, multidimensional and multiresonalcontributes to behavioral patterns that deals with health minatory problems of people; and in this way, can guarantee their health. by cockerham vision, health lifestyle realizes with choice concept, but a choice that occurs in social structure that itself affects by different factor. in this paper we try to find th...