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KDD
2003
ACM
150views Data Mining» more  KDD 2003»
14 years 8 months ago
Learning relational probability trees
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...
GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
14 years 1 months ago
Exploring the behavior of building blocks for multi-objective variation operator design using predator-prey dynamics
In this paper, we utilize a predator-prey model in order to identify characteristics of single-objective variation operators in the multi-objective problem domain. In detail, we a...
Christian Grimme, Joachim Lepping, Alexander Papas...
BPM
2008
Springer
109views Business» more  BPM 2008»
13 years 9 months ago
Automating Knowledge Transfer and Creation in Knowledge Intensive Business Processes
It is a well known fact that a wealth of knowledge relies in the employees which makes them one of the most or even the most valuable asset of organisations. But often this knowled...
Michael Granitzer, Gisela Granitzer, Klaus Tochter...
BMCBI
2008
85views more  BMCBI 2008»
13 years 7 months ago
Merging microarray data from separate breast cancer studies provides a robust prognostic test
Background: There is an urgent need for new prognostic markers of breast cancer metastases to ensure that newly diagnosed patients receive appropriate therapy. Recent studies have...
Lei Xu, Aik Choon Tan, Raimond L. Winslow, Donald ...
TON
2008
121views more  TON 2008»
13 years 7 months ago
A framework for mitigating attacks against measurement-based adaptation mechanisms in unstructured multicast overlay networks
Many multicast overlay networks maintain application-specific performance goals by dynamically adapting the overlay structure when the monitored performance becomes inadequate. Thi...
Aaron Walters, David Zage, Cristina Nita-Rotaru