نتایج جستجو برای: arl criterion

تعداد نتایج: 77824  

Journal: :Emerging science journal 2022

Among the many statistical process control charts, modified exponentially weighted moving average (EWMA) chart has been designed to swiftly detect a small shift in parameter. Herein, we propose two explicit formulas for run length (ARL) integrated (IMA) and fractional (FIMA) models combined with EWMA time series prediction. The application of suggested procedures depends on residuals IMA FIMA m...

Journal: :Library Trends 2003
Joe A. Hewitt Judith M. Panitch

IN NOVEMBER4 0 0 1 , the Association of Research Libraries (ARL) announced the formation of a Task Force on Special Collections charged with developing an action plan to address a set of issues deemed significant by the ARL Board and membership. The establishment of the task force followed several years of ARL interest and activity in the area of special collections. This paper will review the ...

Journal: :CoRR 2016
Ryan P. Womack

While providing the resources and tools that make advanced research possible is a primary mission of academic libraries at large research universities, many other elements also contribute to the success of the research enterprise, such as institutional funding, staffing, labs, and equipment. This study focuses on U.S. members of the Association for Research Libraries (ARL). Research success is ...

Journal: :The oncologist 2005
Gus Tisdale Anand Mahadevan Richard H Matthews

Primary T-cell non-Hodgkin's lymphoma (NHL) occurring in the context of acquired immune deficiency syndrome (AIDS) is uncommon. Here, we report and discuss such a case presenting in the rectum, and review relevant literature. Although typical in some respects, the case is, in other ways, somewhat unusual for an AIDS-related NHL (ARL); ARL tends to be B cell and advanced stage and our case was T...

2016
Clifford A. Lynch

Introduction This paper looks at the possible evolutionary paths that the current printed scholarly monograph may take, paying particular attention to the ways in which technical, economic, and cultural factors may shape this evolution. It does not predict the demise of today's printed scholarly monograph, but suggests that it will coexist with a series of successors that will offer new points ...

Journal: :E3S web of conferences 2023

Light shelves provide a function to control direct sunlight and introduce daylight into indoor spaces. Also, chilled water flowing in the light shelf can mitigate local cooling demands perimeter zones. Therefore, this study, thermally activated (TALS) system was proposed, TALS’s radiative capacity evaluated. To do this, mock-up chamber developed using prototypes of TALS systems based on panel c...

1996
Justinian P. Rosca Dana H. Ballard

Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive generalization over a very large set of situations. Second they facilitate modularization. In this paper we compare several randomized algorithms for learning modular procedural representations. The main algorithm, called Ad...

2004
Pan Zhu Zhong Lu Xiaoyong Chen Kiyoshi Honda

This paper presents an automatic road extraction technique that combines information from aerial photos and laser scanning data (LSD). This innovative Road Extraction Assisted by Laser (REAL) can detect the road edges shadowed by surrounding high objects. A new concept of Associated Road Line (ARL) graph from LSD is introduced to enhance Real Road Line (RRL) graph from aerial photos. The extrac...

1995
Justinian P. Rosca

This paper presents an algorithm for the discovery of building blocks in genetic programming (GP) called adaptive representation through learning (ARL). The central idea of ARL is the adaptation of the problem representation, by extending the set of terminals and functions with a set of evolvable subroutines. The set of subroutines extracts common knowledge emerging during the evolutionary proc...

1996
Prasad Tadepalli DoKyeong Ok

Almost all the work in Average-reward Reinforcement Learning (ARL) so far has fo-cused on table-based methods which do not scale to domains with large state spaces. In this paper, we propose two extensions to a model-based ARL method called H-learning to address the scale-up problem. We extend H-learning to learn action models and reward functions in the form of Bayesian networks, and approxima...

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