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» When causality matters for prediction
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ICCSA
2003
Springer
13 years 11 months ago
A Probabilistic Model for Predicting Software Development Effort
—Recently, Bayesian probabilistic models have been used for predicting software development effort. One of the reasons for the interest in the use of Bayesian probabilistic model...
Parag C. Pendharkar, Girish H. Subramanian, James ...
PPL
2008
75views more  PPL 2008»
13 years 6 months ago
Modeling the Performance of Communication Schemes on Network Topologies
This paper investigates the influence of the interconnection network topology of a parallel system on the delivery time of an ensemble of messages, called the communication scheme...
Jan Lemeire, Erik F. Dirkx, Walter Colitti
ESEM
2009
ACM
14 years 23 days ago
Using security metrics coupled with predictive modeling and simulation to assess security processes
: © Using Security Metrics Coupled with Predictive Modeling and Simulation to Assess Security Processes Yolanta Beres, Marco Casassa Mont, Jonathan Griffin, Simon Shiu HP Laborato...
Yolanta Beres, Marco Casassa Mont, Jonathan Griffi...
AUSDM
2006
Springer
100views Data Mining» more  AUSDM 2006»
13 years 10 months ago
Data Mining Methodological Weaknesses and Suggested Fixes
Predictive accuracy claims should give explicit descriptions of the steps followed, with access to the code used. This allows referees and readers to check for common traps, and t...
John H. Maindonald
KDD
1994
ACM
117views Data Mining» more  KDD 1994»
13 years 10 months ago
Application of the TETRAD II Program to the Study of Student Retention in U.S. Colleges
We applied TETRAD II, a causal discovery program developed in Carnegie Mellon University's Department of Philosophy, to a database containing information on 204 U.S. colleges...
Marek J. Druzdze, Clark Glymour