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JSYML
2008
108views more  JSYML 2008»
15 years 6 months ago
Randomness, lowness and degrees
We say that A LR B if every B-random number is A-random. Intuitively this means that if oracle A can identify some patterns on some real , oracle B can also find patterns on . In o...
George Barmpalias, Andrew E. M. Lewis, Mariya Ivan...
CORR
2010
Springer
90views Education» more  CORR 2010»
15 years 3 months ago
Fast Pseudo-Random Fingerprints
Abstract. We propose a method to exponentially speed up computation of various fingerprints, such as the ones used to compute similarity and rarity in massive data sets. Rather the...
Yoram Bachrach, Ely Porat
ICML
2006
IEEE
16 years 7 months ago
An analysis of graph cut size for transductive learning
I consider the setting of transductive learning of vertex labels in graphs, in which a graph with n vertices is sampled according to some unknown distribution; there is a true lab...
Steve Hanneke
ICML
2003
IEEE
16 years 7 months ago
Marginalized Kernels Between Labeled Graphs
A new kernel function between two labeled graphs is presented. Feature vectors are defined as the counts of label paths produced by random walks on graphs. The kernel computation ...
Hisashi Kashima, Koji Tsuda, Akihiro Inokuchi
PPAM
2005
Springer
16 years 6 hour ago
Parallel Query Processing and Edge Ranking of Graphs
Abstract. In this paper we deal with the problem of finding an optimal query execution plan in database systems. We improve the analysis of a polynomial-time approximation algorit...
Dariusz Dereniowski, Marek Kubale