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KES
2007
Springer
14 years 3 months ago
Predictive and Contextual Feature Separation for Bayesian Metanetworks
Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...
Vagan Y. Terziyan
SGAI
2007
Springer
14 years 3 months ago
Evolving a Dynamic Predictive Coding Mechanism for Novelty Detection
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...
IJCNN
2006
IEEE
14 years 3 months ago
Recurrent Neural Network Based Predictions of Elephant Migration in a South African Game Reserve
Abstract— A large portion of South Africa’s elephant population can be found on small wildlife reserves. When confined to enclosed reserves the elephant densities are much hig...
Parviz Palangpour, Ganesh K. Venayagamoorthy, Kevi...
ICCBR
2003
Springer
14 years 2 months ago
Predicting Software Development Project Outcomes
Case-based reasoning is a flexible methodology to manage software development related tasks. However, when the reasoner’s task is prediction, there are a number of different CBR ...
Rosina Weber, Michael Waller, June M. Verner, Will...
DATE
2010
IEEE
137views Hardware» more  DATE 2010»
14 years 2 months ago
Deterministic, predictable and light-weight multithreading using PRET-C
—We present a new language called Precision Timed C, for predictable and lightweight multithreading in C. PRET-C supports synchronous concurrency, preemption, and a high-level co...
Sidharta Andalam, Partha S. Roop, Alain Girault