3963 search results - page 159 / 793 » Designing for learning |
121
click to vote
JMLR
2002
15 years 3 months ago
2002
We extend the VC theory of statistical learning to data dependent spaces of classifiers. This theory can be viewed as a decomposition of classifier design into two components; the...
116
click to vote
KDD
2009
ACM
16 years 4 months ago
2009
ACM
In this study, we formalize a multi-focal learning problem, where training data are partitioned into several different focal groups and the prediction model will be learned within...
120
click to vote
ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
The paper explores a very simple agent design method called Q-decomposition, wherein a complex agent is built from simpler subagents. Each subagent has its own reward function and...
173
click to vote
CASES
2006
ACM
15 years 9 months ago
2006
ACM
Developing an optimizing compiler for a newly proposed architecture is extremely difficult when there is only a simulator of the machine available. Designing such a compiler requ...
139
click to vote
VLSID
1998
IEEE
15 years 8 months ago
1998
IEEE
With several commercial tools becoming available, the high-level synthesis of applicationspeci c integrated circuits is nding wide spread acceptance in VLSI industry today. Existi...