1062 search results - page 6 / 213 » Sublinear Optimization for Machine Learning |
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
In a trend that reflects the increasing demand for intelligent applications driven by business data, IBM today is building out a significant number of applications that leverage m...
ICML
2006
IEEE
14 years 8 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...
CGO
2009
IEEE
14 years 2 months ago
2009
IEEE
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
JGO
2010
13 years 6 months ago
2010
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
ECML
2003
Springer
14 years 26 days ago
2003
Springer
Comparative machine learning experiments have become an important methodology in empirical approaches to natural language processing (i) to investigate which machine learning algor...