390 search results - page 3 / 78 » A Model of Inductive Bias Learning |
135
Voted
GIS
1992
ACM
15 years 5 months ago
1992
ACM
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
92
Voted
ACL
2006
15 years 3 months ago
2006
We first show how a structural locality bias can improve the accuracy of state-of-the-art dependency grammar induction models trained by EM from unannotated examples (Klein and Ma...
ICML
2000
IEEE
16 years 2 months ago
2000
IEEE
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
93
Voted
ICML
1989
IEEE
15 years 5 months ago
1989
IEEE
The available concept-learners only partially fulfill the needs imposed by the learning apprentice generation of learners. We present a novel approach to interactive concept-learni...
90
Voted
AAAI
1996
15 years 3 months ago
1996
Inductive algorithms rely strongly on their representational biases, Constructive induction can mitigate representational inadequacies. This paper introduces the notion of a relat...