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NPL
2006
13 years 8 months ago
2006
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
CIBCB
2007
IEEE
14 years 23 days ago
2007
IEEE
Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...
GECCO
2008
Springer
13 years 10 months ago
2008
Springer
Multiobjective methods are ideal for evolving a set of portfolio optimisation solutions that span a range from highreturn/high-risk to low-return/low-risk, and an investor can cho...
EVOW
2009
Springer
14 years 3 months ago
2009
Springer
Dynamic time-linkage problems (DTPs) are common types of dynamic optimization problems where "decisions that are made now ... may in‡uence the maximum score that can be obta...
AAAI
2007
13 years 11 months ago
2007
In clique tree clustering, inference consists of propagation in a clique tree compiled from a Bayesian network. In this paper, we develop an analytical approach to characterizing ...