397 search results - page 46 / 80 » An empirical study of optimizations in YOGI |
HICSS
2003
IEEE
14 years 1 months ago
2003
IEEE
Many software projects fail because early life-cycle defects such as ill-defined requirements are not identified and removed. Therefore, quality assurance (QA) techniques for defe...
CP
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
AIPS
2006
13 years 9 months ago
2006
Searches that include both feasible and infeasible solutions have proved to be efficient algorithms for solving some scheduling problems. Researchers conjecture that these algorit...
ML
2006
ACM
13 years 7 months ago
2006
ACM
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
EC
2006
13 years 7 months ago
2006
The error threshold of replication is an important notion of the quasispecies evolution model; it is a critical mutation rate (error rate) beyond which structures obtained by an e...