18
Voted
AI
2009
Springer
13 years 11 months ago
2009
Springer
In this paper, we present an empirical comparison of the effects of category skew on six feature selection methods. The methods were evaluated on 36 datasets generated from the 20...
AI
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. This paper solves a static and transportation facility location allocation problem defined as follows: given a set of locations Loc and a set of demand objects D located ...
AI
2009
Springer
13 years 11 months ago
2009
Springer
A knowledge-intensive problem is often not solved by an individual knowledge artifact; rather the solution needs to draw upon multiple, and even heterogeneous, knowledge artifacts....
AI
2009
Springer
13 years 11 months ago
2009
Springer
We present a method for automatic extraction of frames from .a dependency graph. Our method uses machine learning applied to a dependency tree to assign frames and assign frame ele...
AI
2009
Springer
13 years 11 months ago
2009
Springer
The manipulation of large-scale document data sets often involves the processing of a wealth of features that correspond with the available terms in the document space. The employm...
AI
2009
Springer
13 years 11 months ago
2009
Springer
Spatial clustering, which groups similar spatial objects into classes, is an important research topic in spatial data mining. Many spatial clustering methods have been developed re...
AI
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Version Control Systems (VCS) have always played an essential role for developing reliable software. Recently, many new ways of utilizing the information hidden in VCS ha...
AI
2009
Springer
13 years 11 months ago
2009
Springer
This paper presents the machine translation system known as TransLI (Translation of Legal Information) developed by the authors for automatic translation of Canadian Court judgment...
AI
2009
Springer
13 years 11 months ago
2009
Springer
AI
2009
Springer
13 years 11 months ago
2009
Springer
In this paper, we present a Support Vector Machine (SVM) based ensemble approach to combat the extractive multi-document summarization problem. Although SVM can have a good general...