搜索结果: 1-15 共查到“管理学 Learning”相关记录174条 . 查询时间(0.187 秒)
This paper describes the use of podcasts as learning aid in the teaching of operations
management, particularly in a Simulation class. A podcast is a digital recording of a
radio program, which is n...
浙江大学管理学院Co-learning团队连续四年获“中国企业管理案例与质性研究论坛”最佳论文奖（图）
浙江大学管理学院 Co-learning团队 中国 企业管理 论坛 最佳论文奖
2017/12/5
在近日举行的“中国企业管理案例与质性研究论坛(2017)”上传来喜讯，浙大管院Co-learning团队撰写的论文《跨越身份的鸿沟：组织身份不对称与整合战略选择》，斩获“中国企业管理案例与质性研究论坛”最佳论文奖。同时，Co-learning学术团队也成为全国唯一“连续四年获得该奖项”的团队。
We ask whether employer learning in the wage-setting process depends on skill type and skill importance to productivity, using measures of seven premarket skills and data for each skill’s importance t...
Convergence: An Experimental Study of Teaching and Learning in Repeated Games
Repeated Games Nash equilibrium
2015/9/23
Nash equilibrium can be interpreted as a steady state where players hold correct beliefs about the
other players’ behavior and act rationally. We experimentally examine the process that leads to this...
《The Elements of Statistical Learning: Data Mining, Inference, and Prediction》 (Second Edition)（图）
Data Mining Inference Prediction
2015/8/21
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and mark...
《An Introduction to Statistical Learning with Applications in R》（图）
Statistical Learning Applications
2015/8/21
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged ...
Learning interactions via hierarchical group-lasso regularization
hierarchical interaction computer intensive regression logistic
2015/8/21
We introduce a method for learning pairwise interactions in a linear regression or logistic regression model in a manner that satisfies strong hierarchy: whenever an interaction is estimated to be non...
Learning the Structure of Mixed Graphical Models
Learning the Structure Mixed Graphical Models
2015/8/21
We consider the problem of learning the structure of a pairwise graphical model over continuous and discrete variables. We present a new pairwise model for graphical models with both continuous and di...
This paper addresses the problem of unsupervised feature learning for text data.Our method is grounded in the principle of minimum description length and uses a dictionary-based compression scheme to ...
Learning the Kernel via Convex Optimization
Convex optimization kernel methods machine learning support vector machine
2015/7/9
The performance of a kernel-based learning algorithm depends very much on the choice of the kernel. Recently, much attention has been paid to the problem of learning the kernel itself from given train...
A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance
convex optimization minimax theorem robust optimization
2015/7/9
This paper concerns a fractional function of the form x^Ta/sqrt{x^TBx}, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, and choosing (a,B)...
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
Distributed Optimization Statistical Learning via Alternating Direction Method Multipliers
2015/7/9
Many problems of recent interest in statistics and machine learning can be posed in the framework of convex optimization. Due to the explosion in size and complexity of modern datasets, it is increasi...
Block Splitting for Large-Scale Distributed Learning
Block Splitting Large-Scale Distributed Learning
2015/7/9
Machine learning and statistics with very large datasets is now a topic of widespread interest, both in academia and industry. Many such tasks can be posed as convex optimization problems, so algorith...
Kernel-Based Reinforcement Learning in Average-Cost Problems
Average–cost problem dynamic programming kernel smoothing local averaging Markov decision process (MDP)
2015/7/8
Reinforcement learning (RL) is concerned with the identification of optimal controls in Markov decision processes (MDPs) where no explicit model of the transition probabilities is available. Many exis...
The Transparency Paradox:A Role for Privacy in Organizational Learning and Operational Control
Transparency Privacy Organizational Learning Operational Control Organizational Performance
2015/5/14
Using data from embedded participant-observers and a field experiment at the second largest mobile phone factory in the world, located in China, I theorize and test the implications of transparent org...