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UAI
2000
13 years 12 months ago
Adaptive Importance Sampling for Estimation in Structured Domains
Sampling is an important tool for estimating large, complex sums and integrals over highdimensional spaces. For instance, importance sampling has been used as an alternative to ex...
Luis E. Ortiz, Leslie Pack Kaelbling
COCOON
2001
Springer
14 years 3 months ago
A Space Saving Trick for Directed Dynamic Transitive Closure and Shortest Path Algorithms
We present a simple space saving trick that applies to many previous algorithms for transitive closure and shortest paths in dynamic directed graphs. In these problems, an update c...
Valerie King, Mikkel Thorup
CHI
2011
ACM
13 years 2 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
JSAC
2010
138views more  JSAC 2010»
13 years 9 months ago
Dynamic conjectures in random access networks using bio-inspired learning
—Inspired by the biological entities’ ability to achieve reciprocity in the course of evolution, this paper considers a conjecture-based distributed learning approach that enab...
Yi Su, Mihaela van der Schaar
CCECE
2006
IEEE
14 years 4 months ago
A Demand-Driven Approach for a Distributed Virtual Environment
The relevance of distributed virtual environments (DVE) and interactive 3D worlds for entertaining and commercial purposes is steadily increasing. DVEs are typically implemented a...
Markus Fakler, Stefan Frenz, Michael Schöttne...