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ICCS
2007
Springer
16 years 25 days ago
A Multiscale, Cell-Based Framework for Modeling Cancer Development
We use a systems approach to develop a predictive model that medical researchers can use to study and treat cancerous tumors. Our multiscale, cell-based model includes intracellula...
Yi Jiang
NECO
2002
104views more  NECO 2002»
15 years 6 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen
CORR
2004
Springer
125views Education» more  CORR 2004»
15 years 6 months ago
Traffic Accident Analysis Using Decision Trees and Neural Networks
The costs of fatalities and injuries due to traffic accident have a great impact on society. This paper presents our research to model the severity of injury resulting from traffi...
Miao M. Chong, Ajith Abraham, Marcin Paprzycki
ICML
2000
IEEE
16 years 7 months ago
Behavioral Cloning of Student Pilots with Modular Neural Networks
This paper investigates how behavioral cloning can be used to decrease training time for students learning to y on simulators. The challenges presented to each student must be tai...
Charles W. Anderson, Bruce A. Draper, David A. Pet...
KDD
2009
ACM
179views Data Mining» more  KDD 2009»
16 years 1 months ago
Identifying graphs from noisy and incomplete data
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
Galileo Mark S. Namata Jr., Lise Getoor