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The Influence from the Past: Organizational Imprinting and Firms’ Compliance with Social Insurance Policies in China
Social insurance provision for workers Organizational imprinting Institutional logics
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2016/1/26
Using a nationwide survey of randomly selec-ted manufacturing firms in representative Chinese cities,we examine how firms’ compliance with social insurance policies is shaped by their historical impri...
The Influence from the Past: Organizational Imprinting and Firms’ Compliance with Social Insurance Policies in China
Social insurance provision for workers Organizational imprinting Institutional logic
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2016/1/20
Using a nationwide survey of randomly selec-ted manufacturing firms in representative Chinese cities,we examine how firms’ compliance with social insurance policies is shaped by their historical impri...
Policies for Simultaneous Estimation and Optimization
Policies Simultaneous Estimation Optimization
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2015/7/10
Policies for the joint identification and control of uncertain systems are presented. The discussion focuses on the case of a multiple input, single output linear system, with no dynamics and quadrati...
Learning Policies for Contextual Submodular Prediction
Learning Policies Contextual Submodular Prediction
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2013/6/14
Many prediction domains, such as ad placement, recommendation, trajectory prediction, and document summarization, require predicting a set or list of options. Such lists are often evaluated using subm...
The RAppArmor Package: Enforcing Security Policies in R Using Dynamic Sandboxing on Linux
R Security Linux Sandbox AppArmor
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2013/5/2
With the increasing availability of public cloud computing facilities and scientific super computers, there is a great potential for making R available through public or shared resources. This allows ...
Minimax Policies for Combinatorial Prediction Games
Minimax Policies Combinatorial Prediction Games
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2011/6/20
We address the online linear optimization problem when the actions of the forecaster are represented by
binary vectors. Our goal is to understand the magnitude of the minimax regret for the worst pos...
Existence of optimal policies in stochastic dynamic programing
Existence of optimal policies stochastic dynamic programing
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2009/9/24
Existence of optimal policies in stochastic dynamic programing。
Optimal Policies Search for Sensor Management
Sensor(s) Management Partially Observable Markov Decision Process Stochastic Gradient Estimation AESA Radar
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2010/3/19
This paper introduces a new approach to solve
sensor management problems. Classically sensor management
problems can be well formalized as Partially-Observed Markov
Decision Processes (POMPD). The ...