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127
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ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
15 years 9 months ago
CLUMP: A Scalable and Robust Framework for Structure Discovery
We introduce a robust and efficient framework called CLUMP (CLustering Using Multiple Prototypes) for unsupervised discovery of structure in data. CLUMP relies on finding multip...
Kunal Punera, Joydeep Ghosh
116
Voted
PKDD
2000
Springer
108views Data Mining» more  PKDD 2000»
15 years 7 months ago
Application of Reinforcement Learning to Electrical Power System Closed-Loop Emergency Control
This paper investigates the use of reinforcement learning in electric power system emergency control. The approach consists of using numerical simulations together with on-policy M...
Christophe Druet, Damien Ernst, Louis Wehenkel
170
Voted
CCGRID
2008
IEEE
15 years 5 months ago
A Probabilistic Model to Analyse Workflow Performance on Production Grids
Production grids are complex and highly variable systems whose behavior is not well understood and difficult to anticipate. The goal of this study is to estimate the impact of the ...
Tristan Glatard, Johan Montagnat, Xavier Pennec
117
Voted
BMCBI
2010
129views more  BMCBI 2010»
15 years 3 months ago
Automatic prediction of catalytic residues by modeling residue structural neighborhood
Background: Prediction of catalytic residues is a major step in characterizing the function of enzymes. In its simpler formulation, the problem can be cast into a binary classific...
Elisa Cilia, Andrea Passerini
148
Voted
WWW
2006
ACM
16 years 4 months ago
Knowledge modeling and its application in life sciences: a tale of two ontologies
High throughput glycoproteomics, similar to genomics and proteomics, involves extremely large volumes of distributed, heterogeneous data as a basis for identification and quantifi...
Satya Sanket Sahoo, Christopher Thomas, Amit P. Sh...