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Infinite-horizon policy-gradient estimation

Baxter, J.; Bartlett, P. L. - 2001

Gradient-based approaches to direct policy search in reinforcement learning have received much recent attention as a means to solve problems of partial observability and to avoid some of the problems associated with policy degradation in value-function methods. In this paper we introduce GPOMDP,...

Persistent link: https://www.econbiz.de/10009438377

A review of cooperative rules and their associated algorithms for minimum-cost spanning tree problems

Bergantiños, Gustavo; Vidal-Puga, Juan J. - In: SERIEs - Journal of the Spanish Economic Association 12 (2021) 1, pp. 73-100

through cooperative games with rules defined directly from the problem, either through algorithms for computing a minimal tree …

Persistent link: https://www.econbiz.de/10014496126

Organisation und Algorithmus

Büchner, Stefanie; Dosdall, Henrik - In: KZfSS Kölner Zeitschrift für Soziologie und … 73 (2021) Suppl 1, pp. 333-357

Der vorliegende Beitrag analysiert, wie Organisationen Algorithmen, die wir als digitale Beobachtungsformate verstehen, mit Handlungsfähigkeit ausstatten und damit actionable machen. Das zentrale Argument lautet, dass die soziale Relevanz digitaler Beobachtungsformate sich daraus ergibt, dass...

Persistent link: https://www.econbiz.de/10014501385

Observing "tuned" advertising on digital platforms

Carah, Nicholas; Hayden, Lauren; Brown, Maria-Gemma; … - In: Internet Policy Review 13 (2024) 2, pp. 1-26

The hyper-targeted advertising that emerged on digital platforms over the past two decades is now more productively understood as tuned advertising, a dynamic and unfolding process where ads are continuously algorithmically "optimised" to users in real time. Following Rieder and Hofmann (2020),...

Persistent link: https://www.econbiz.de/10014634490

How platform power undermines diversity-oriented innovation

Helm, Paula - In: Internet Policy Review 13 (2024) 2, pp. 1-23

The paper contributes to the further development of platform studies by looking at the early stages of development. It draws on insights from an exemplary research and innovation project that aimed to develop a "diversity-aware online social platform". The article takes a co- productive stance....

Persistent link: https://www.econbiz.de/10014634495

Fast ML estimation for the mixture of factor analyzers via an ECM algorithm

Zhao, JH; Yu, PLH - 2008

) estimation of mixtures of factor analyzers (MFA). Unlike the existing expectation-maximization (EM) algorithms such as the EM in …

Persistent link: https://www.econbiz.de/10009471509

Optimal Control of Nonlinear Dynamic Econometric Models: An Algorithm and an Application

Blüschke-Nikolaeva, Viktoria; Blüschke, Dmitri; Neck, … - 2010

In this paper, we present a new version of the OPTCON algorithm for the optimal control of nonlinear stochastic systems with special reference to econometric models. It delivers approximate numerical solutions of optimum control problems with a quadratic objective function for nonlinear...

Persistent link: https://www.econbiz.de/10010270207

Numerical optimization for mixed logit models and an application

Dogan, Deniz - 2008

In this thesis an algorithm (MLOPT) for mixed logit models is proposed. Mixed logit models are flexible discrete choice models, but their estimation with large datasets involves the solution of a nonlinear optimization problem with a high dimensional integral in the objective function, which is...

Persistent link: https://www.econbiz.de/10009476125

Extending the Scalability of Linkage Learning Genetic Algorithms: Theory and Practice

Chen, Ying-ping - 2004

algorithms that use only fitness for learning genetic linkage. Both an explanatory theory and experimental results to support the …

Persistent link: https://www.econbiz.de/10009477966

Prognozavimo metodų analizės sistema

Gaižauskas, Mantas - 2009

This work is related to the data mining process, Business Intelligence technology and forecasting algorithms. This … paper analyzes the forecasting algorithms, their evaluation methods and data mining technologies. There are a number of … forecasting algorithms. Often there are questions how to choose the algorithm for prediction and how to prepare for work with a …

Persistent link: https://www.econbiz.de/10009478262