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WSC
1998
15 years 8 months ago
So You Have Your Model: What to Do Next. A Tutorial on Simulation Output Analysis
Simulation models are built with the intent of studying the behavior of the real system represented by the model. However, a simulation model generates random outputs; thus, the d...
Martha A. Centeno, M. Florencia Reyes
COGSR
2011
75views more  COGSR 2011»
15 years 2 months ago
A memory for goals model of sequence errors
We propose a model of routine sequence actions based on the Memory for Goals model. The model presents a novel process description for both perseveration and anticipation errors, ...
J. Gregory Trafton, Erik M. Altmann, Raj M. Ratwan...
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
13 years 9 months ago
Factoring past exposure in display advertising targeting
Online advertising is increasingly becoming more performance oriented, where the decision to show an advertisement to a user is made based on the user’s propensity to respond to...
Neha Gupta, Abhimanyu Das, Sandeep Pandey, Vijay K...
ICML
2007
IEEE
16 years 8 months ago
Multifactor Gaussian process models for style-content separation
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
Jack M. Wang, David J. Fleet, Aaron Hertzmann
BPM
2007
Springer
181views Business» more  BPM 2007»
16 years 1 months ago
Generation of Business Process Models for Object Life Cycle Compliance
Abstract. Business process models usually capture data exchanged between tasks in terms of objects. These objects are commonly standardized using reference data models that prescri...
Jochen Malte Küster, Ksenia Ryndina, Harald G...