In this work, we address the combinatorial optimization problem in the stochastic bandit setting with bandit feedback. We propose to use the seminal Thompson Sampling algorithm under an assumption on rewards expectations. More specifically, we tackle the online feature selection problem where results show that Thompson Sampling performs well. Additionnally, we discuss the challenges associated ...

The present study propounded an improved class of estimators using multi-auxiliary information in successive sampling at both the design and the estimation stages. The proposed method is an extension of the work by Tankou and Dharmadhikari (1989) in successive sampling. The present study is compared with the work carried out by Olkin (1958). The numerical illustration is carried out to show the...

Recent work by Bengio et al. (2013) proposes a sampling procedure for denoising autoencoders which involves learning the transition operator of a Markov chain. The transition operator is typically unimodal, which limits its capacity to model complex data. In order to perform efficient sampling from conditional distributions, we extend this work, both theoretically and algorithmically, to gated ...

the aim of this research work was to investigate on the ball filling estimation of miduk semi-autogenous (sag) mill via an utilized method. miduk copper concentrator is located in kerman province, iran, and its size reduction stage includes one gyratory crusher which feeds one sag mill (9.75 dia.(m)*3.88 length(m)) following two parallel ball mills (5dia.(m)*7lenght(m)). after sag mill, a tromm...

this study aims to identify job stressors faculty members of birjand university and its relationship with quality of work life. the research method was descriptive and correlational that using cochran's sampling formula that sample size was determined by actual count, 136 members and simple random sampling was used. job stress (hse) questionnaire with reliability (α= 0.90) and quality of w...

One of the important components for calculating power requirements is workload. This means that determination adjusted to existing The Workload Indicator Staff Needs (WISN) method a workforce needs based on actual workload carried out by workforce. study aims analyze services using Work Sampling technique and service workers WISN method. research was in Surgery Anesthesia Room Installation, Dr....

The primary goal to this research is to develop a principled approach to sampling in the context of a spatiotemporally dynamic feature. We examine the concepts of registration and association of sparse data in non-static environments with the aim of developing generative models and low-order descriptions to improve localization relative to the dynamic feature, which in turn will improve methods...