12943 search results - page 1936 / 2589 » Predicting When Not to Predict |
199
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ICML
2009
IEEE
16 years 8 months ago
2009
IEEE
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
191
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ICML
2009
IEEE
16 years 8 months ago
2009
IEEE
We propose a multiple source domain adaptation method, referred to as Domain Adaptation Machine (DAM), to learn a robust decision function (referred to as target classifier) for l...
198
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ICML
2007
IEEE
16 years 8 months ago
2007
IEEE
We propose statistical predicate invention as a key problem for statistical relational learning. SPI is the problem of discovering new concepts, properties and relations in struct...
209
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ICML
2007
IEEE
16 years 8 months ago
2007
IEEE
The supremacy of n-gram models in statistical language modelling has recently been challenged by parametric models that use distributed representations to counteract the difficult...
205
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ICML
2007
IEEE
16 years 8 months ago
2007
IEEE
Kernelizing partial least squares (PLS), an algorithm which has been particularly popular in chemometrics, leads to kernel PLS which has several interesting properties, including ...