2884 search results - page 366 / 577 » Evaluating learning algorithms and classifiers |
UAI
2003
15 years 1 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...
97
Voted
ICML
2009
IEEE
16 years 1 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...
128
Voted
ATAL
2004
Springer
15 years 6 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 ...
115
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IEAAIE
2004
Springer
15 years 6 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...
119
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KCAP
2003
ACM
15 years 5 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 ...