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APBC
2003
116views Bioinformatics» more  APBC 2003»
15 years 8 months ago
An Empirical Comparison of Supervised Machine Learning Techniques in Bioinformatics
Research in bioinformatics is driven by the experimental data. Current biological databases are populated by vast amounts of experimental data. Machine learning has been widely ap...
Aik Choon Tan, David Gilbert
CONCURRENCY
2008
124views more  CONCURRENCY 2008»
15 years 6 months ago
A service-oriented Grid environment for integration of distributed kidney models and resources
In this paper, we present a Grid computing platform that provides experimental scientists and analysts with access to computational simulations and knowledge databases hosted in s...
Xingchen Chu, Andrew Lonie, Peter Harris, S. Randa...
DAC
2005
ACM
16 years 7 months ago
MP core: algorithm and design techniques for efficient channel estimation in wireless applications
Channel estimation and multiuser detection are enabling technologies for future generations of wireless applications. However, sophisticated algorithms are required for accurate c...
Yan Meng, Andrew P. Brown, Ronald A. Iltis, Timoth...
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
16 years 7 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
CHI
2006
ACM
16 years 7 months ago
Sashay: designing for wonderment
No longer confined to our offices, schools, and homes, technology is expanding at an astonishing rate across our everyday public urban landscapes. From the visible (mobile phones,...
Eric Paulos, Chris Beckmann