2884 search results - page 366 / 577 » Evaluating learning algorithms and classifiers |
UAI
2003
13 years 11 months ago
2003
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
ICML
2009
IEEE
14 years 11 months ago
2009
IEEE
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. Learning ML...
ATAL
2004
Springer
14 years 3 months ago
2004
Springer
The problem of interest is how to dynamically allocate wireless access services in a competitive market which implements a take-it-or-leave-it allocation mechanism. In this paper ...
IEAAIE
2004
Springer
14 years 3 months ago
2004
Springer
The main issue in e-learning is student modelling, i.e. the analysis of a student’s behaviour and prediction of his/her future behaviour and learning performance. Indeed, it is d...
KCAP
2003
ACM
14 years 3 months ago
2003
ACM
While existing learning techniques can be viewed as inducing programs from examples, most research has focused on rather narrow classes of programs, e.g., decision trees or logic ...