593 search results - page 76 / 119 » Optimizing Complex Loss Functions in Structured Prediction |
FOCS
2005
IEEE
14 years 2 months ago
2005
IEEE
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a wide variety of r...
ALIFE
1998
13 years 8 months ago
1998
Creating artificial life forms through evolutionary robotics faces a “chicken and egg” problem: learning to control a complex body is dominated by problems specific to its s...
GECCO
2003
Springer
14 years 2 months ago
2003
Springer
We have developed an evolutionary approach for the flexible docking that is now an important component of a rational drug design. This automatic docking tool, referred to as the G...
GECCO
2011
Springer
13 years 14 days ago
2011
Springer
Computing unique input-output sequences (UIOs) from finite state machines (FSMs) is important for conformance testing in software engineering, where evolutionary algorithms (EAs)...
BMCBI
2010
13 years 9 months ago
2010
Background: The protein folding problem remains one of the most challenging open problems in computational biology. Simplified models in terms of lattice structure and energy func...