1150 search results - page 68 / 230 » Tackling Large State Spaces in Performance Modelling |
JAIR
2000
13 years 8 months ago
2000
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
AAAI
2000
13 years 10 months ago
2000
Combinatorial auctions (CAs) have emerged as an important model in economics and show promise as a useful tool for tackling resource allocation in AI. Unfortunately, winner determ...
KDD
2006
ACM
14 years 9 months ago
2006
ACM
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
FGR
2002
IEEE
14 years 1 months ago
2002
IEEE
Hitherto, the major challenge to sign language recognition is how to develop approaches that scale well with increasing vocabulary size. In this paper we present an approach to la...
COMPOS
1997
Springer
14 years 1 months ago
1997
Springer
The main problem in model checking that prevents it from being used for veri cation of large systems is the state explosion problem. This problem often arises from combining parall...