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143
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ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
We study the problem of learning kernel machines transductively for structured output variables. Transductive learning can be reduced to combinatorial optimization problems over a...
148
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CLIN
2004
15 years 6 months ago
2004
Machine learning and statistical methods have yielded impressive results in a wide variety of natural language processing tasks. These advances have generally been regarded as eng...
116
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ICMAS
1998
15 years 6 months ago
1998
Multi-machine scheduling, that is, the assigment of jobs to machines such that certain performance demands like cost and time effectiveness are fulfilled, is a ubiquitous and comp...
133
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ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...
111
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ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
We present the first large-scale empirical application of reinforcement learning to the important problem of optimized trade execution in modern financial markets. Our experiments...