129 search results - page 14 / 26 » Learning DFA from Simple Examples |
ML
2000
ACM
13 years 8 months ago
2000
ACM
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
MCS
2009
Springer
14 years 3 months ago
2009
Springer
There are a variety of methods for inducing predictive systems from observed data. Many of these methods fall into the field of study of machine learning. Some of the most effec...
ALT
2007
Springer
14 years 2 months ago
2007
Springer
In transfer learning the aim is to solve new learning tasks using fewer examples by using information gained from solving related tasks. Existing transfer learning methods have be...
FQAS
2004
Springer
14 years 10 days ago
2004
Springer
Abstract. The Internet has instigated a critical need for automated tools that facilitate integrating countless databases. Since non-technical end users are often the ultimate repo...
ICCV
2003
IEEE
14 years 10 months ago
2003
IEEE
Example-based methods are effective for parameter estimation problems when the underlying system is simple or the dimensionality of the input is low. For complex and high-dimensio...