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BMCBI
2007
147views more  BMCBI 2007»
15 years 4 months ago
Statistical significance of quantitative PCR
Background: PCR has the potential to detect and precisely quantify specific DNA sequences, but it is not yet often used as a fully quantitative method. A number of data collection...
Yann Karlen, Alan McNair, Sébastien Persegu...
ILP
2007
Springer
15 years 10 months ago
Bias/Variance Analysis for Relational Domains
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
KDD
2010
ACM
289views Data Mining» more  KDD 2010»
15 years 1 months ago
Exploitation and exploration in a performance based contextual advertising system
The dynamic marketplace in online advertising calls for ranking systems that are optimized to consistently promote and capitalize better performing ads. The streaming nature of on...
Wei Li 0010, Xuerui Wang, Ruofei Zhang, Ying Cui, ...
KDD
1998
ACM
160views Data Mining» more  KDD 1998»
15 years 8 months ago
Algorithms for Characterization and Trend Detection in Spatial Databases
1 The number and the size of spatial databases, e.g. for geomarketing, traffic control or environmental studies, are rapidly growing which results in an increasing need for spatial...
Martin Ester, Alexander Frommelt, Hans-Peter Krieg...
AAAI
1990
15 years 5 months ago
A Proven Domain-Independent Scientific Function-Finding Algorithm
Programs such as Bacon, Abacus, Coper, Kepler and others are designed to find functional relationships of scientific significance in numerical data without relying on the deep dom...
Cullen Schaffer