搜索结果: 1-15 共查到“知识库 管理学 learning”相关记录169条 . 查询时间(0.17 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...
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...
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...
This extended memorandum identifies episodes of sustained double-digit growth in real GDP, defined as a compound annual growth rate of 10 percent or more over a period of 8 years or longer. Using a me...
Prominent Job Advertisements,Group Learning and Wage Dispersion
Wages Job Offer Job Search Advertising
2015/4/27
A model is presented in which people base their labor search strategy on the average wage and the average unemployment duration of people who belong to their peer group. It is shown that, if the distr...
We introduce online learning algorithms which are independent of feature scales, proving regret bounds dependent on the ratio of scales existent in the data rather than the absolute scale. This has se...