Biblio

Export 63 results:
[ Autor(Desc)] Título Tipo Año
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
R
Ribas A.  2019.  Exploring the Influence of Self-determination in the Collective Intelligence of Collaborative Organizations. IFKAD, International Forum on Knowledge Asset Dynamics.
Ribas A, Brombereg F.  2018.  Exploring the Influence of Self-determination in the Collective Intelligence of Collaborative Organizations. Symposium on implementing collaborative governance.
Ribas À, Bromberg F.  2018.  Toward Self-Determinant Citizen Governance: Trust-Boosting Sociocracy 3.0 with Blockchain. Symposium on Implementing Collaborative Governance. Models, experiences and challenges to foster policy coordination, and to enhance sustainable community outcomes and public value generation.
Ribas A, Bromberg F, Dinamarca A.  2019.  S3LF: a Socio-Technical System for Self-Determinant Governance in Collaborative Organizations. 23RD INTERNATIONAL PUBLIC MANAGEMENT NETWORK (IPMN) CONFERENCE.
S
Schlüter F, Bromberg F, Pérez DS.  2010.  Speeding up the execution of a large number of statistical tests of independence. Proceedings of ASAI 2010, Argentinean Symposioum of Artificial Intelligence.
Schlüter F, Bromberg F.  2014.  El enfoque IBMAP para aprendizaje de estructuras de redes de Markov. Tesis doctoral en Facultad de Ciencias Exactas - Universidad Nacional del Centro de la Provincia de Buenos Aires. Director: Facundo Bromberg. . Doctorado en Ciencias de la Computación (PhD in Computer Science):138.
Schlüter F, Hermida RSantana, Lozano JAntonio.  2016.  An analysis of the impact of Kikuchi approximations.
Schlüter F, Strappa Y, Bromberg F, Milone DH.  2017.  Blankets Joint Posterior score for learning Markov network structures . International Journal of Approximate Reasoning. https://doi.org/10.1016/j.ijar.2017.10.018
Schlüter F.  2012.  A survey on independence-based Markov networks learning. Artificial Intelligence Review. 42(4):1093.
Schlüter F, Bromberg F, Abraham L.  2011.  Strategies for piecing-together Local-to-Global Markov network learning algorithms. ASAI 2011.
Schlüter F, Bromberg F, Edera A.  2014.  The IBMAP approach for Markov network structure learning. Annals of Mathematics and Artificial Intelligence. 72(3):197--223.

Páginas