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» Active learning for directed exploration of complex systems
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122
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JMLR
2010
202views more  JMLR 2010»
14 years 7 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
101
Voted
JITECH
2010
116views more  JITECH 2010»
14 years 11 months ago
Design theory for dynamic complexity in information infrastructures: the case of building internet
We propose a design theory that tackles dynamic complexity in the design for Information Infrastructures (IIs) defined as a shared, open, heterogeneous and evolving socio-technica...
Ole Hanseth, Kalle Lyytinen
BMCBI
2007
143views more  BMCBI 2007»
15 years 20 days ago
Factor analysis for gene regulatory networks and transcription factor activity profiles
Background: Most existing algorithms for the inference of the structure of gene regulatory networks from gene expression data assume that the activity levels of transcription fact...
Iosifina Pournara, Lorenz Wernisch
127
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SWARM
2010
SPRINGER
178views Optimization» more  SWARM 2010»
14 years 7 months ago
On artificial immune systems and swarm intelligence
Abstract This position paper explores the nature and role of two bio-inspired paradigms, namely Artificial Immune Systems (AIS) and Swarm Intelligence (SI). We argue that there are...
Jon Timmis, Paul S. Andrews, Emma Hart
99
Voted
AIED
2009
Springer
15 years 7 months ago
Looking Into Collaborative Learning: Design from Macro- and Micro-Script Perspectives
Design of collaborative learning (CL) scenarios is a complex task, but necessary if the goal of the collaboration is learning. Creating well-thought-out CL scenarios requires exper...
Eloy D. Villasclaras-Fernández, Seiji Isota...