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BMCBI
2007
207views more  BMCBI 2007»
13 years 11 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...
MSR
2009
ACM
14 years 5 months ago
Does calling structure information improve the accuracy of fault prediction?
Previous studies have shown that software code attributes, such as lines of source code, and history information, such as the number of code changes and the number of faults in pr...
Yonghee Shin, Robert M. Bell, Thomas J. Ostrand, E...
APIN
2005
107views more  APIN 2005»
13 years 10 months ago
Multi-Instance Learning Based Web Mining
In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. In this paper, ...
Zhi-Hua Zhou, Kai Jiang, Ming Li
ICDCS
2008
IEEE
14 years 5 months ago
Toward Predictive Failure Management for Distributed Stream Processing Systems
Distributed stream processing systems (DSPSs) have many important applications such as sensor data analysis, network security, and business intelligence. Failure management is ess...
Xiaohui Gu, Spiros Papadimitriou, Philip S. Yu, Sh...
IAT
2010
IEEE
13 years 8 months ago
A Voting-Based Agent System for Course Selection in E-Learning
Agent technology is a good approach for solving a number of problems concerned with personalized learning. In personal learning contexts individual students are given an environme...
Ali M. Aseere, Enrico H. Gerding, David E. Millard