Agent-based simulation is increasingly used to analyze the performance of complex systems. There are two main ways agentbased models are built -- from equation-based models and di...
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
Tuning parallel code can be a time-consuming and difficult task. We present our approach to automate the performance analysis of OpenMP applications that is based on the notion of ...
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...
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...