EXPECTATION BASED REWARD SYSTEM FOR REDUCING EMPLOYEES’ TARDINESS

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Expectation Maximization for Average Reward Decentralized POMDPs

Planning for multiple agents under uncertainty is often based on decentralized partially observable Markov decision processes (DecPOMDPs), but current methods must de-emphasize long-term effects of actions by a discount factor. In tasks like wireless networking, agents are evaluated by average performance over time, both short and longterm effects of actions are crucial, and discounting based s...

متن کامل

presenting a real time method for automatic detection of diabetes based on fuzzy reward-penalty system

nowadays diabetes disease is one of the main problems of health domain and it’s known as the fourth factor of death in the world. the main problem with this dangerous disease is the late or weak diagnosis. the reason of weak diagnosis is because sometimes doctors aren’t able to select the right patterns or they can’t use the standard patterns very well, so the outcome is that the disease will b...

متن کامل

Reducing Reliance on Relevance Judgments for System Comparison by Using Expectation-Maximization

Relevance judgments are often the most expensive part of information retrieval evaluation, and techniques for comparing retrieval systems using fewer relevance judgments have received significant attention in recent years. This paper proposes a novel system comparison method using an expectationmaximization algorithm. In the expectation step, real-valued pseudo-judgments are estimated from a se...

متن کامل

Reducing Annotation Effort using Generalized Expectation Criteria

Generalized expectation (GE) criteria [McCallum et al., 2007] are terms in objective functions that assign scores to values of model expectations. In this paper we introduce GE-FL, a method that uses GE to train a probabilistic model using associations between input features and classes rather than complete labeled instances. Specifically, here the expectations are model predicted class distrib...

متن کامل

Appendix To Reducing Tardiness Under Global Scheduling by Splitting Jobs

T split i = T base i si , (A.9) and we add a prime to any variable to indicate the version that accounts for overheads. Aside from the modifications described below, we model split tasks as full tasks with worst-case execution time C i and period T split i , so that subjobs function as jobs. As discussed in Sec. 5, several overheads cannot be incurred by all subjobs. The event latency ∆ appears...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Jurnal Administrasi Kesehatan Indonesia

سال: 2019

ISSN: 2540-9301,2303-3592

DOI: 10.20473/jaki.v7i1.2019.9-17