237 search results - page 30 / 48 » Incremental Learning in Inductive Programming |
107
Voted
ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
144
Voted
ILP
2007
Springer
15 years 8 months ago
2007
Springer
In this chapter, we describe a view of statistical learning in the inductive logic programming setting based on kernel methods. The relational representation of data and background...
117
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
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. In this pap...
130
Voted
IEAAIE
2004
Springer
15 years 8 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...
131
Voted
AI
1999
Springer
15 years 2 months ago
1999
Springer
We present a new machine learning method that, given a set of training examples, induces a definition of the target concept in terms of a hierarchy of intermediate concepts and th...