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» Network Structuring and Training Using Rule-Based Knowledge
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BMCBI
2006
116views more  BMCBI 2006»
14 years 9 months ago
Optimized mixed Markov models for motif identification
Background: Identifying functional elements, such as transcriptional factor binding sites, is a fundamental step in reconstructing gene regulatory networks and remains a challengi...
Weichun Huang, David M. Umbach, Uwe Ohler, Leping ...
90
Voted
ESM
2000
14 years 11 months ago
A tool for controlled knowledge discovery in spatial domains
A data simulator that can facilitate the development of improved sampling and analysis procedures for spatial analysis is proposed. The simulator, implemented in MATLAB, provides ...
Dragoljub Pokrajac, Zoran Obradovic, Tim Fiez
MICCAI
2007
Springer
15 years 10 months ago
Automatic Fetal Measurements in Ultrasound Using Constrained Probabilistic Boosting Tree
Abstract. Automatic delineation and robust measurement of fetal anatomical structures in 2D ultrasound images is a challenging task due to the complexity of the object appearance, ...
Gustavo Carneiro, Bogdan Georgescu, Sara Good, Dor...
CSL
2007
Springer
14 years 9 months ago
Modeling durations of syllables using neural networks
In this paper, we propose a neural network model for predicting the durations of syllables. A four layer feedforward neural network trained with backpropagation algorithm is used ...
K. Sreenivasa Rao, B. Yegnanarayana
97
Voted
DSN
2007
IEEE
15 years 4 months ago
Emergent Structure in Unstructured Epidemic Multicast
In epidemic or gossip-based multicast protocols, each node simply relays each message to some random neighbors, such that all destinations receive it at least once with high proba...
Nuno Carvalho, José Pereira, Rui Carlos Oli...