2045 search results - page 146 / 409 » Learning programming with Erlang |
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Many kernel learning methods have to assume parametric forms for the target kernel functions, which significantly limits the capability of kernels in fitting diverse patterns. Som...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative pr...
ALT
2003
Springer
14 years 5 months ago
2003
Springer
Inductive inference is concerned with algorithmic learning of recursive functions. In the model of learning in the limit a learner successful for a class of recursive functions mus...
AIME
2005
Springer
14 years 1 months ago
2005
Springer
This paper aims at formalizing the concept of learning rules from multisource data in a cardiac monitoring context. Our method has been implemented and evaluated on learning from d...
COLT
2001
Springer
14 years 18 days ago
2001
Springer
A classical learning problem in Inductive Inference consists of identifying each function of a given class of recursive functions from a finite number of its output values. Unifor...