Sciweavers

140 search results - page 2 / 28
» From the Nearest Neighbour Rule to Decision Trees
Sort
View
IDA
2005
Springer
13 years 10 months ago
Learning from Ambiguously Labeled Examples
Inducing a classification function from a set of examples in the form of labeled instances is a standard problem in supervised machine learning. In this paper, we are concerned w...
Eyke Hüllermeier, Jürgen Beringer
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
ICPR
2000
IEEE
13 years 9 months ago
Weighting Prototypes. A New Editing Approach
It is well known that editing techniques can be applied to (large) sets of prototypes in order to bring the error rate of the Nearest Neighbour classifier close to the optimal Ba...
Roberto Paredes Palacios, Enrique Vidal
KDD
1998
ACM
112views Data Mining» more  KDD 1998»
13 years 9 months ago
Evaluating Usefulness for Dynamic Classification
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...
Gholamreza Nakhaeizadeh, Charles Taylor, Carsten L...
ACL
1996
13 years 6 months ago
Compilation of Weighted Finite-State Transducers from Decision Trees
We report on a method for compiling decision trees into weighted finite-state transducers. The key assumptions are that the tree predictions specify how to rewrite symbols from an...
Richard Sproat, Michael Riley