搜索结果: 1-11 共查到“管理学 Active”相关记录11条 . 查询时间(0.028 秒)
Convex Optimization of Output Link Scheduling and Active Queue Management in QoS Constrained Packet Switches
Convex Optimization Output Link Scheduling Active Queue Management QoS Constrained Packet Switches
2015/7/10
We present two novel algorithms at the ingress and egress of packet switches with QoS provisioning and fairness constraints. We first provide a suite of generalized weighted fair queuing formulations ...
Surrogate Losses in Passive and Active Learning
active learning sequential design selective sampling statistical learning theory surrogate loss functions classification
2012/9/19
Active learning is a type of sequential design for supervised machine learning, in which the learning algorithm sequentially requests the labels of selected instances from a large pool of unlabeled da...
The long and active existentialist
empirical active management the conventional regulated long-active fund setting risk budget specific dollar-nominal excess return
2011/10/29
This contribution casts a critical eye broadly at empirical active management in the conventional regulated long-active fund setting. All long (fully invested) and active funds (sometimes termed 'long...
Bayesian experimental design for the active nitridation of graphite by atomic nitrogen
Optimal experimental design Uncertainty quanti cation
2011/7/19
The problem of optimal data collection to efficiently learn the model parameters of a graphite nitridation experiment is studied in the context of Bayesian analysis using both synthetic and real exper...
Predictive Active Set Selection Methods for Gaussian Processes
Gaussian process classifi cation active set selection predictive distribution expectation propagation
2011/3/24
We propose an active set selection framework for Gaussian process classification for cases when the dataset is large enough to render its inference prohibitive. Our scheme consists on a two step alter...
Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities
Active Clustering Robust and Efficient Hierarchical Clustering Adaptively Selected Similarities
2011/3/25
Hierarchical clustering based on pairwise similarities is a common tool used in a broad range of scientific applications. However, in many problems it may be expensive to obtain or compute similaritie...
An Active Set Algorithm to Estimate Parameters in Generalized Linear Models with Ordered Predictors
ordered explanatory variable constrained estimation least squares logistic regression Coxregression active set algorithm
2010/3/18
In biomedical studies, researchers are often interested in assessing the association between one or more ordinal explanatory variables and an outcome variable, at the same time adjusting for covariate...
Perception Management: An Active Strategy for Marketing and Delivering Academic Excellence, Business Sophistication, and Communication Successes
Perception Management Active Strategy
2009/9/30
Too many liberal arts colleges continue to spend too much time looking inward, planning too much from memory rather than from imagination, suffer from faculty hubris and indifference, and do not demon...
Essential trauma management training: addressing service delivery needs in active conflict zones in eastern Myanmar
trauma management training active conflict zones eastern Myanmar
2009/9/27
This report illustrates a method to increase the capacity of indigenous health workers to manage traumatic injuries. These health workers are able to provide trauma care for otherwise inaccessible pop...
DOES A LESS ACTIVE CENTRAL BANK LEAD TO GREATER ECONOMIC STABILITY? EVIDENCE FROM THE EUROPEAN MONETARY UNION
CENTRAL BANK GREATER ECONOMIC STABILITY EUROPEAN MONETARY UNION
2008/11/6
On January 1, 1999, 11 European countries gave up the independence
of their monetary policy by joining the European Monetary
Union (EMU). Since that time, these countries have shared a common
curre...
Active Set and EM Algorithms for Log-Concave Densities Based on Complete and Censored Data
Active Set EM Algorithms Log-Concave Densities Complete and Censored Data
2010/4/30
We develop an active set algorithm for the maximum likelihood estimation of a
log–concave density based on complete data. Building on this fast algorithm, we introduce an EM algorithm to treat arbitr...