394 search results - page 61 / 79 » A framework for evolutionary optimization with approximate f... |
ICALP
2010
Springer
14 years 15 days ago
2010
Springer
The general problem of robust optimization is this: one of several possible scenarios will appear tomorrow, but things are more expensive tomorrow than they are today. What should...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
ICSE
2009
IEEE-ACM
14 years 2 months ago
2009
IEEE-ACM
Regression test suites tend to grow over time as new test cases are added to exercise new functionality or to target newly-discovered faults. When test suites become too large, th...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. We present a comparative study on how to use discriminative learning methods such as classification, regression, and ranking to address deformable shape segmentation. Tra...
TSMC
2008
13 years 7 months ago
2008
Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual fo...