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» Evaluating algorithms that learn from data streams
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CSB
2003
IEEE
130views Bioinformatics» more  CSB 2003»
16 years 28 days ago
Latent Structure Models for the Analysis of Gene Expression Data
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
Dong Hua, Dechang Chen, Xiuzhen Cheng, Abdou Youss...
WWW
2002
ACM
16 years 8 months ago
A machine learning based approach for table detection on the web
Table is a commonly used presentation scheme, especially for describing relational information. However, table understanding remains an open problem. In this paper, we consider th...
Yalin Wang, Jianying Hu
CC
2003
Springer
16 years 26 days ago
Improving Data Locality by Chunking
Cache memories were invented to decouple fast processors from slow memories. However, this decoupling is only partial, and many researchers have attempted to improve cache use by p...
Cédric Bastoul, Paul Feautrier
ISPASS
2009
IEEE
16 years 2 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...
PETRA
2009
ACM
16 years 2 months ago
Ambient kitchen: designing situated services using a high fidelity prototyping environment
The Ambient Kitchen is a high fidelity prototype for exploring the design of pervasive computing algorithms and applications for everyday environments. The environment integrates ...
Patrick Olivier, Guangyou Xu, Andrew Monk, Jesse H...