1419 search results - page 134 / 284 » Approximation Methods for Supervised Learning |
105
Voted
KDD
1998
ACM
15 years 4 months ago
1998
ACM
This paper develops the concept of usefulness in the context of supervised learning. We argue that usefulness can be used to improve the performance of classification rules (as me...
135
Voted
ECAI
2004
Springer
15 years 4 months ago
2004
Springer
Functional genomics is a typical scientific discovery domain characterized by a very large number of attributes (genes) relative to the number of examples (observations). The dang...
NIPS
2007
15 years 2 months ago
2007
Hierarchical penalization is a generic framework for incorporating prior information in the fitting of statistical models, when the explicative variables are organized in a hiera...
105
Voted
EMNLP
2004
15 years 2 months ago
2004
This work applies boosted wrapper induction (BWI), a machine learning algorithm for information extraction from semi-structured documents, to the problem of named entity recogniti...
121
Voted
COLING
2002
15 years 13 days ago
2002
In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowl...