1055 search results - page 78 / 211 » Convex Factorization Machines |
93
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BMCBI
2006
15 years 20 days ago
2006
Background: Single nucleotide polymorphisms (SNP) constitute more than 90% of the genetic variation, and hence can account for most trait differences among individuals in a given ...
100
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ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
We study online learning in an oblivious changing environment. The standard measure of regret bounds the difference between the cost of the online learner and the best decision in...
118
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ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
Receiver Operator Characteristic (ROC) curves are commonly used to present results for binary decision problems in machine learning. However, when dealing with highly skewed datas...
102
Voted
PKDD
2009
Springer
15 years 7 months ago
2009
Springer
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
87
Voted
IJCNN
2006
IEEE
15 years 6 months ago
2006
IEEE
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...