732 search results - page 79 / 147 » Strongly Non-U-Shaped Learning Results by General Techniques |
ICML
1999
IEEE
14 years 9 months ago
1999
IEEE
Before applying learning algorithms to datasets, practitioners often globally discretize any numeric attributes. If the algorithm cannot handle numeric attributes directly, prior ...
SIGCSE
2009
ACM
14 years 9 months ago
2009
ACM
Many academic and industry professionals have called for more testing in computer science curricula. Test-driven development (TDD) has been proposed as a solution to improve testi...
GECCO
2009
Springer
14 years 1 months ago
2009
Springer
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
ATAL
2008
Springer
13 years 11 months ago
2008
Springer
In reinforcement learning, least-squares temporal difference methods (e.g., LSTD and LSPI) are effective, data-efficient techniques for policy evaluation and control with linear v...
ML
2000
ACM
13 years 8 months ago
2000
ACM
This paper discusses a novel distributed adaptive algorithm and representation used to construct populations of adaptive Web agents. These InfoSpiders browse networked information ...