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» Linear Modeling of Genetic Networks from Experimental Data
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EOR
2002
99views more  EOR 2002»
13 years 7 months ago
Network cost minimization using threshold-based discounting
We present a genetic algorithm for heuristically solving a cost minimization problem applied to communication networks with threshold based discounting. The network model assumes t...
Hrvoje Podnar, Jadranka Skorin-Kapov, Darko Skorin...
HIS
2004
13 years 8 months ago
K-Ranked Covariance Based Missing Values Estimation for Microarray Data Classification
Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...
Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence ...
ICDCSW
2000
IEEE
13 years 11 months ago
Model-Based Multi-Modal Information Retrieval from Large Archives
In this paper, we describe a new paradigm for information retrieval in which the retrieval target is based on a model. Three types of models – linear, finite state, and knowledg...
Chung-Sheng Li, Yuan-Chi Chang, Lawrence D. Bergma...
ICDM
2007
IEEE
153views Data Mining» more  ICDM 2007»
14 years 1 months ago
HSN-PAM: Finding Hierarchical Probabilistic Groups from Large-Scale Networks
Real-world social networks are often hierarchical, reflecting the fact that some communities are composed of a few smaller, sub-communities. This paper describes a hierarchical B...
Haizheng Zhang, Wei Li, Xuerui Wang, C. Lee Giles,...
GIS
2011
ACM
12 years 11 months ago
Embedding rivers in triangulated irregular networks with linear programming
Data conflation is a major issue in GIS: different geospatial data sets covering overlapping regions, possibly obtained from different sources and using different acquisition ...
Marc J. van Kreveld, Rodrigo I. Silveira