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VLSISP
2002
124views more  VLSISP 2002»
15 years 6 months ago
Agglomerative Learning Algorithms for General Fuzzy Min-Max Neural Network
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...
Bogdan Gabrys
ICCABS
2011
14 years 10 months ago
High-performance biocomputing for simulating the spread of contagion over large contact networks
Abstract—Many important biological problems can be modeled as contagion diffusion processes over interaction networks. This paper shows how the EpiSimdemics interaction-based sim...
Keith R. Bisset, Ashwin M. Aji, Madhav V. Marathe,...
SIGMOD
2008
ACM
179views Database» more  SIGMOD 2008»
16 years 7 months ago
BibNetMiner: mining bibliographic information networks
Online bibliographic databases, such as DBLP in computer science and PubMed in medical sciences, contain abundant information about research publications in different fields. Each...
Yizhou Sun, Tianyi Wu, Zhijun Yin, Hong Cheng, Jia...
BIBM
2010
IEEE
157views Bioinformatics» more  BIBM 2010»
15 years 4 months ago
Decomposing PPI networks for complex discovery
Abstract--Protein complexes are important for understanding principles of cellular organization and functions. With the availability of large amounts of high-throughput proteinprot...
Guimei Liu, Chern Han Yong, Limsoon Wong, Hon Nian...
ICML
2005
IEEE
16 years 7 months ago
Naive Bayes models for probability estimation
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
Daniel Lowd, Pedro Domingos