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COGSCI
2011
108views more  COGSCI 2011»
15 years 2 months ago
The AHA! Experience: Creativity Through Emergent Binding in Neural Networks
Many kinds of creativity result from combination of mental representations. This paper provides a computational account of how creative thinking can arise from combining neural pa...
Paul Thagard, Terrence C. Stewart
BMCBI
2010
229views more  BMCBI 2010»
15 years 7 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
SMA
2008
ACM
155views Solid Modeling» more  SMA 2008»
15 years 7 months ago
Filament tracking and encoding for complex biological networks
We present a framework for segmenting and storing filament networks from scalar volume data. Filament structures are commonly found in data generated using high-throughput microsc...
David Mayerich, John Keyser
SAC
2002
ACM
15 years 7 months ago
A mobility and traffic generation framework for modeling and simulating ad hoc communication networks
We present a generic mobility and traffic generation framework that can be incorporated into a tool for modeling and simulating large scale ad hoc networks. Three components of thi...
Christopher L. Barrett, Madhav V. Marathe, James P...
INFOCOM
2007
IEEE
16 years 1 months ago
Robust and Scalable Geographic Multicast Protocol for Mobile Ad-hoc Networks
— Group communications are important in Mobile Ad hoc Networks (MANET). Multicast is an efficient method to implement the group communications. However, it is challenging to imp...
Xiaojing Xiang, Zehua Zhou, Xin Wang