2327 search results - page 1 / 466 » Consistency of functional learning methods based on derivati... |
PRL
2011
12 years 11 months ago
2011
In some real world applications, such as spectrometry, functional models achieve better predictive performances if they work on the derivatives of order m of their inputs rather t...
ESANN
2008
13 years 6 months ago
2008
In some applications, especially spectrometric ones, curve classifiers achieve better performances if they work on the m-order derivatives of their inputs. This paper proposes a sm...
JMLR
2006
13 years 4 months ago
2006
The consistency of classification algorithm plays a central role in statistical learning theory. A consistent algorithm guarantees us that taking more samples essentially suffices...
ICML
1990
IEEE
13 years 8 months ago
1990
IEEE
Given an adequate simulation model of the task environment and payoff function that measures the quality of partially successful plans, competition-based heuristics such as geneti...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
We present a classification algorithm built on our adaptation of the Generalized Lotka-Volterra model, well-known in mathematical ecology. The training algorithm itself consists ...