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KDD
2005
ACM
149views Data Mining» more  KDD 2005»
14 years 29 days ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
VLDB
2005
ACM
177views Database» more  VLDB 2005»
14 years 28 days ago
Discovering Large Dense Subgraphs in Massive Graphs
We present a new algorithm for finding large, dense subgraphs in massive graphs. Our algorithm is based on a recursive application of fingerprinting via shingles, and is extreme...
David Gibson, Ravi Kumar, Andrew Tomkins
CF
2004
ACM
14 years 27 days ago
An architectural framework and a middleware for cooperating smart components
In a future networked physical world, a myriad of smart sensors and actuators assess and control aspects of their environments and autonomously act in response to it. Examples ran...
Antonio Casimiro, Jörg Kaiser, Paulo Ver&iacu...
ICML
2004
IEEE
14 years 27 days ago
Ensembles of nested dichotomies for multi-class problems
Nested dichotomies are a standard statistical technique for tackling certain polytomous classification problems with logistic regression. They can be represented as binary trees ...
Eibe Frank, Stefan Kramer
CHARME
2003
Springer
100views Hardware» more  CHARME 2003»
14 years 21 days ago
Inductive Assertions and Operational Semantics
This paper shows how classic inductive assertions can be used in conjunction with an operational semantics to prove partial correctness properties of programs. The method imposes o...
J. Strother Moore