Sciweavers

233 search results - page 13 / 47
» Learning Decision Lists Using Homogeneous Rules
Sort
View
DIAGRAMS
2004
Springer
14 years 1 months ago
Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...
LLL
1999
Springer
14 years 2 days ago
Learning to Lemmatise Slovene Words
Abstract. Automatic lemmatisation is a core application for many language processing tasks. In inflectionally rich languages, such as Slovene, assigning the correct lemma to each ...
Saso Dzeroski, Tomaz Erjavec
IJCAI
1997
13 years 9 months ago
Noise-Tolerant Windowing
Windowing has been proposed as a procedure for efficient memory use in the ID3 decision tree learning algorithm. However, it was shown that it may often lead to a decrease in perf...
Johannes Fürnkranz
AIME
1997
Springer
13 years 12 months ago
Detecting Very Early Stages of Dementia from Normal Aging with Machine Learning Methods
We used Machine Learning (ML) methods to learn the best decision rules to distinguish normal brain aging from the earliest stages of dementia using subsamples of 198 normal and 244...
William Rodman Shankle, Subramani Mani, Michael J....
SIGDIAL
2010
13 years 5 months ago
Modeling Spoken Decision Making Dialogue and Optimization of its Dialogue Strategy
This paper presents a spoken dialogue framework that helps users in making decisions. Users often do not have a definite goal or criteria for selecting from a list of alternatives...
Teruhisa Misu, Komei Sugiura, Kiyonori Ohtake, Chi...