881 search results - page 97 / 177 » A decentralized task scheduling algorithm and its performanc... |
JMLR
2008
13 years 9 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
DAC
1996
ACM
14 years 1 months ago
1996
ACM
1- A methodology is presented in this paper for determining an optimal set of clock path delays for designing high performance VLSI/ULSI-based clock distribution networks. This met...
AI
1998
Springer
13 years 8 months ago
1998
Springer
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
BMCBI
2007
13 years 9 months ago
2007
Background: We investigate the empirical complexity of the RNA secondary structure design problem, that is, the scaling of the typical difficulty of the design task for various cl...
PODC
2006
ACM
14 years 2 months ago
2006
ACM
We present Grouped Distributed Queues (GDQ), the first proportional share scheduler for multiprocessor systems that scales well with a large number of processors and processes. G...