390 search results - page 4 / 78 » A Model of Inductive Bias Learning |
IWANN
2005
Springer
14 years 29 days ago
2005
Springer
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
JMLR
2010
13 years 2 months ago
2010
Inducing a grammar from text has proven to be a notoriously challenging learning task despite decades of research. The primary reason for its difficulty is that in order to induce...
ECML
2000
Springer
13 years 11 months ago
2000
Springer
We examine the role of simplicity in directing the induction of context-free grammars from sample sentences. We present a rational reconstruction of Wol 's SNPR { the Gridssys...
AAAI
1996
13 years 8 months ago
1996
This article advocates a new model for inductive learning. Called sequential induction, it helps bridge classical fixed-sample learning techniques (which are efficient but difficu...
ECML
1998
Springer
13 years 11 months ago
1998
Springer
Previous bias shift approaches to predicate invention are not applicable to learning from positive examples only, if a complete hypothesis can be found in the given language, as ne...