2327 search results - page 152 / 466 » Consistency of functional learning methods based on derivati... |
181
click to vote
IJCAI
2003
15 years 7 months ago
2003
Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...
211
click to vote
JMLR
2008
15 years 6 months ago
2008
Harmonic analysis and diffusion on discrete data has been shown to lead to state-of-theart algorithms for machine learning tasks, especially in the context of semi-supervised and ...
174
click to vote
ICCAD
2008
IEEE
16 years 26 days ago
2008
IEEE
This paper presents ISCLEs, a novel and robust analog design method that promises to scale with Moore’s Law, by doing boosting-style importance sampling on digital-sized circuit...
203
click to vote
SIGIR
2011
ACM
14 years 9 months ago
2011
ACM
A key challenge in recommender system research is how to effectively profile new users, a problem generally known as cold-start recommendation. Recently the idea of progressivel...
181
click to vote
FOCI
2007
IEEE
16 years 23 days ago
2007
IEEE
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...