Optimal estimation in stream quality modeling
نویسندگان
چکیده
منابع مشابه
Stream sampling for variance-optimal estimation of subset sums
From a high volume stream of weighted items, we want to maintain a generic sample of a certain limited size k that we can later use to estimate the total weight of arbitrary subsets. This is the classic context of on-line reservoir sampling, thinking of the generic sample as a reservoir. We present an efficient reservoir sampling scheme, VarOptk, that dominates all previous schemes in terms of ...
متن کاملEfficient Stream Sampling for Variance-Optimal Estimation of Subset Sums
From a high volume stream of weighted items, we want to maintain a generic sample of a certain limited size k that we can later use to estimate the total weight of arbitrary subsets. This is the classic context of on-line reservoir sampling, thinking of the generic sample as a reservoir. We present an efficient reservoir sampling scheme, VAROPTk, that dominates all previous schemes in terms of ...
متن کاملUp-Stream and Down-Stream Quality in Enterprise Modeling Practice - Supporting Model Driven Continuous Improvement in Organizations
The paper identifies and discusses what is considered to be the three most critical points, both up-stream and down-stream to Enterprise Modeling, for ensuring the usefulness and use of EM results in the continuous improvement of organizations. The model type that is targeted in the cases discussed in the paper is the process model, but other related model types, e.g. goal models and concepts m...
متن کاملTowards Real-Time Stream Quality Prediction: Predicting Video Stream Quality from Partial Stream Information
While mechanisms exist to evaluate the user-perceived quality of video streamed over computer networks, there are few good mechanisms to do so in real time. In this paper, we evaluate the feasibility of predicting the stream quality of partial portions of a video stream based on either complete or incomplete information from previously rated streams. Using stream state information collected fro...
متن کاملOptimal Sequential Detection in Multi-stream Data
Consider a large number of detectors each generating a data stream. The task is to detect online, distribution changes in a small fraction of the data streams. Previous approaches to this problem include the use of mixture likelihood ratios and sum of CUSUMs. We provide here extensions and modifications of these approaches that are optimal in detecting normal mean shifts. We show how the (optim...
متن کاملذخیره 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: Computers & Mathematics with Applications
سال: 1990
ISSN: 0898-1221
DOI: 10.1016/0898-1221(90)90151-9