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220
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AAAI
2011
14 years 6 months ago
2011
Semi-supervised support vector machines (S3VMs) are a kind of popular approaches which try to improve learning performance by exploiting unlabeled data. Though S3VMs have been fou...
186
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ICALT
2006
IEEE
16 years 17 days ago
2006
IEEE
All books entitled “Learn … with 1000 exercises” have in common the same basic principle. They aim to supply enough material to students so that they may better understand t...
175
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IPMI
2007
Springer
16 years 7 months ago
2007
Springer
Abstract. We present a machine learning approach called shape regression machine (SRM) to segmenting in real time an anatomic structure that manifests a deformable shape in a medic...
172
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
Restricted Boltzmann Machines (RBMs) are a type of probability model over the Boolean cube {-1, 1}n that have recently received much attention. We establish the intractability of ...
155
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GECCO
2007
Springer
16 years 21 days ago
2007
Springer
In the classical binary genetic algorithm, although crossover within a building block (BB) does not always cause a decrease in fitness, any decrease in fitness results from the ...