889 search results - page 139 / 178 » Observational Learning in Random Networks |
75
Voted
GECCO
2010
Springer
15 years 5 months ago
2010
Springer
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
142
Voted
BMCBI
2007
15 years 19 days ago
2007
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
WISE
2006
Springer
15 years 6 months ago
2006
Springer
This paper presents a novel context-based approach to find reliable recommendations for trust model in ubiquitous environments. Context is used in our approach to analyze the userâ...
125
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CORR
2011
Springer
14 years 7 months ago
2011
Springer
—We consider the problem of positioning a cloud of points in the Euclidean space Rd , from noisy measurements of a subset of pairwise distances. This task has applications in var...
91
Voted
KDD
2009
ACM
15 years 7 months ago
2009
ACM
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...