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» A Hierarchical Approach to Internet Distance Prediction
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BMCBI
2007
95views more  BMCBI 2007»
13 years 5 months ago
Phylogenetic tree information aids supervised learning for predicting protein-protein interaction based on distance matrices
Background: Protein-protein interactions are critical for cellular functions. Recently developed computational approaches for predicting protein-protein interactions utilize co-ev...
Roger A. Craig, Li Liao
AINA
2009
IEEE
14 years 3 days ago
TopDNS: Experiences Building Internet-Based Topologies with GNP
Building realistic Internet topologies is an important step towards predicting the behavior of new distributed applications and protocols. We are creating topologies that predict ...
Gert Pfeifer, Christof Fetzer
IMC
2004
ACM
13 years 10 months ago
Modeling distances in large-scale networks by matrix factorization
In this paper, we propose a model for representing and predicting distances in large-scale networks by matrix factorization. The model is useful for network distance sensitive app...
Yun Mao, Lawrence K. Saul
VMV
2004
150views Visualization» more  VMV 2004»
13 years 6 months ago
Hierarchical Shape-Adaptive Quantization for Geometry Compression
The compression of polygonal mesh geometry is still an active field of research as in 3d no theoretical bounds are known. This work proposes a geometry coding method based on pred...
Stefan Gumhold
BMCBI
2008
200views more  BMCBI 2008»
13 years 5 months ago
Defining functional distances over Gene Ontology
Background: A fundamental problem when trying to define the functional relationships between proteins is the difficulty in quantifying functional similarities, even when well-stru...
Angela del Pozo, Florencio Pazos, Alfonso Valencia