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ICML
1999
IEEE
16 years 18 days ago
Machine-Learning Applications of Algorithmic Randomness
Most machine learning algorithms share the following drawback: they only output bare predictions but not the con dence in those predictions. In the 1960s algorithmic information t...
Volodya Vovk, Alexander Gammerman, Craig Saunders
CORR
2006
Springer
151views Education» more  CORR 2006»
14 years 11 months ago
Graph Laplacians and their convergence on random neighborhood graphs
Given a sample from a probability measure with support on a submanifold in Euclidean space one can construct a neighborhood graph which can be seen as an approximation of the subm...
Matthias Hein, Jean-Yves Audibert, Ulrike von Luxb...
WALCOM
2010
IEEE
290views Algorithms» more  WALCOM 2010»
15 years 6 months ago
The Covert Set-Cover Problem with Application to Network Discovery
We address a version of the set-cover problem where we do not know the sets initially (and hence referred to as covert) but we can query an element to find out which sets contain ...
Sandeep Sen, V. N. Muralidhara
APPROX
2008
Springer
184views Algorithms» more  APPROX 2008»
15 years 1 months ago
Approximately Counting Embeddings into Random Graphs
Let H be a graph, and let CH(G) be the number of (subgraph isomorphic) copies of H contained in a graph G. We investigate the fundamental problem of estimating CH(G). Previous res...
Martin Fürer, Shiva Prasad Kasiviswanathan
CORR
2011
Springer
205views Education» more  CORR 2011»
14 years 6 months ago
Random Walk on Directed Dynamic Graphs
Dynamic graphs have emerged as an appropriate model to capture the changing nature of many modern networks, such as peer-to-peer overlays and mobile ad hoc networks. Most of the re...
Oksana Denysyuk, Luis Rodrigues