3381 search results - page 406 / 677 » LEO - DB2's LEarning Optimizer |
156
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
The l-bfgs limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear models with L2 regularization, but it cannot be us...
157
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
We propose a new stopping condition for a Support Vector Machine (SVM) solver which precisely reflects the objective of the Leave-OneOut error computation. The stopping condition ...
150
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
We experimentally study on-line investment algorithms first proposed by Agarwal and Hazan and extended by Hazan et al. which achieve almost the same wealth as the best constant-re...
174
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AUSAI
2005
Springer
16 years 6 days ago
2005
Springer
This paper addresses the problem of scheduling jobs in soft real-time systems, where the utility of completing each job decreases over time. We present a utility-based framework fo...
172
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PLDI
2004
ACM
16 years 2 days ago
2004
ACM
Instruction scheduling is a compiler optimization that can improve program speed, sometimes by 10% or more—but it can also be expensive. Furthermore, time spent optimizing is mo...