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SIGMOD
2009
ACM
125views Database» more  SIGMOD 2009»
16 years 4 months ago
Top-k queries on uncertain data: on score distribution and typical answers
Uncertain data arises in a number of domains, including data integration and sensor networks. Top-k queries that rank results according to some user-defined score are an important...
Tingjian Ge, Stanley B. Zdonik, Samuel Madden
BMCBI
2008
188views more  BMCBI 2008»
15 years 4 months ago
anNET: a tool for network-embedded thermodynamic analysis of quantitative metabolome data
Background: Compared to other omics techniques, quantitative metabolomics is still at its infancy. Complex sample preparation and analytical procedures render exact quantification...
Nicola Zamboni, Anne Kümmel, Matthias Heinema...
BMCBI
2004
185views more  BMCBI 2004»
15 years 4 months ago
Linear fuzzy gene network models obtained from microarray data by exhaustive search
Background: Recent technological advances in high-throughput data collection allow for experimental study of increasingly complex systems on the scale of the whole cellular genome...
Bahrad A. Sokhansanj, J. Patrick Fitch, Judy N. Qu...
PERCOM
2004
ACM
16 years 3 months ago
Augmenting Film and Video Footage with Sensor Data
With the advent of tiny networked devices, Mark Weiser's vision of a world embedded with invisible computers is coming to age. Due to their small size and relative ease of dep...
Norman Makoto Su, Heemin Park, Eric Bostrom, Jeff ...
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
15 years 9 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali