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141
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BMCBI
2007
207views more  BMCBI 2007»
15 years 18 days 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...
112
Voted
FLAIRS
2008
15 years 2 months ago
Building Useful Models from Imbalanced Data with Sampling and Boosting
Building useful classification models can be a challenging endeavor, especially when training data is imbalanced. Class imbalance presents a problem when traditional classificatio...
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van H...
121
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SDM
2004
SIAM
174views Data Mining» more  SDM 2004»
15 years 1 months ago
Classifying Documents Without Labels
Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform classif...
Daniel Barbará, Carlotta Domeniconi, Ning K...
145
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IJCAI
2003
15 years 1 months ago
Towards Cooperative Negotiation for Decentralized Resource Allocation in Autonomic Computing Systems
Resource allocation is a key problem in autonomic computing. In this paper we use a data center scenario to motivate the need for decentralization and cooperative negotiation, and...
Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart,...
94
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IJCAI
1997
15 years 1 months ago
Change, Change, Change: Three Approaches
We consider the frame problem, that is, char­ acterizing the assumption that properties tend to persist over time. We show that there are at least three distinct assumptions that...
Tom Costello