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BMCBI
2007
207views more  BMCBI 2007»
15 years 4 months ago
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...
ICDAR
2009
IEEE
15 years 11 months ago
Unsupervised HMM Adaptation Using Page Style Clustering
In this paper we present an innovative two-stage adaptation approach for handwriting recognition that is based on clustering of similar pages in the training data. In our approach...
Huaigu Cao, Rohit Prasad, Shirin Saleem, Premkumar...
PRIB
2009
Springer
135views Bioinformatics» more  PRIB 2009»
15 years 11 months ago
Sequential Hierarchical Pattern Clustering
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
Bassam Farran, Amirthalingam Ramanan, Mahesan Nira...
133
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RAID
2007
Springer
15 years 10 months ago
The NIDS Cluster: Scalable, Stateful Network Intrusion Detection on Commodity Hardware
Abstract. In this work we present a NIDS cluster as a scalable solution for realizing high-performance, stateful network intrusion detection on commodity hardware. The design addre...
Matthias Vallentin, Robin Sommer, Jason Lee, Craig...

Book
813views
17 years 16 days ago
Mathematical Tools for Physics
"I wrote this text for a one semester course at the sophomore-junior level. Our experience with students taking our junior physics courses is that even if they've had th...
James Nearing