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» Improving Rule Evaluation Using Multitask Learning
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BMCBI
2010
140views more  BMCBI 2010»
14 years 9 months ago
An improved machine learning protocol for the identification of correct Sequest search results
Background: Mass spectrometry has become a standard method by which the proteomic profile of cell or tissue samples is characterized. To fully take advantage of tandem mass spectr...
Morten Kallberg, Hui Lu
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
15 years 3 months ago
Designing safe, profitable automated stock trading agents using evolutionary algorithms
Trading rules are widely used by practitioners as an effective means to mechanize aspects of their reasoning about stock price trends. However, due to the simplicity of these rule...
Harish Subramanian, Subramanian Ramamoorthy, Peter...
BMCBI
2008
228views more  BMCBI 2008»
14 years 12 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
EXPERT
1998
83views more  EXPERT 1998»
14 years 11 months ago
Data-Driven Constructive Induction
Constructive induction divides the problem of learning an inductive hypothesis into two intertwined searches: one—for the “best” representation space, and two—for the “be...
Eric Bloedorn, Ryszard S. Michalski
ICWL
2007
Springer
15 years 6 months ago
A Web-Based E-Testing System Supporting Test Quality Improvement
In e-testing it is important to administer tests composed of good quality question items. By the term “quality” we intend the potential of an item in effectively discriminating...
Gennaro Costagliola, Filomena Ferrucci, Vittorio F...