Sciweavers

157 search results - page 1 / 32
» Instance Sense Induction from Attribute Sets
Sort
View
COLING
2010
12 years 11 months ago
Instance Sense Induction from Attribute Sets
This paper investigates the new problem of automatic sense induction for instance names using automatically extracted attribute sets. Several clustering strategies and data source...
Ricardo Martin-Brualla, Enrique Alfonseca, Marius ...
KDD
1995
ACM
135views Data Mining» more  KDD 1995»
13 years 8 months ago
Rough Sets Similarity-Based Learning from Databases
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
Xiaohua Hu, Nick Cercone
ISCI
1998
139views more  ISCI 1998»
13 years 4 months ago
A Rough Set Approach to Attribute Generalization in Data Mining
This paper presents a method for updating approximations of a concept incrementally. The results can be used to implement a quasi-incremental algorithm for learning classification...
Chien-Chung Chan
AAAI
1994
13 years 6 months ago
Emergent Linguistic Rules from inducing Decision Trees: Disambiguating Discourse Clue Words
We apply decision tree induction to the problem of discourse clue word sense disambiguation. The automatic partitioning of the training set which is intrinsic to decision tree ind...
Eric V. Siegel, Kathleen McKeown
FUIN
2002
132views more  FUIN 2002»
13 years 4 months ago
RIONA: A New Classification System Combining Rule Induction and Instance-Based Learning
The article describes a method combining two widely-used empirical approaches to learning from examples: rule induction and instance-based learning. In our algorithm (RIONA) decisi...
Grzegorz Góra, Arkadiusz Wojna