1025 search results - page 139 / 205 » Constraint Programming for Data Mining and Machine Learning |
KDD
2002
ACM
16 years 2 months ago
2002
ACM
Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as...
129
click to vote
ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
In inductive logic programming, subsumption is a widely used coverage test. Unfortunately, testing -subsumption is NP-complete, which represents a crucial efficiency bottleneck fo...
111
click to vote
ICCV
2007
IEEE
15 years 8 months ago
2007
IEEE
Structural perception of data plays a fundamental role in pattern analysis and machine learning. In this paper, we develop a new structural perception of data based on local conte...
INFORMS
2007
15 years 1 months ago
2007
It has been shown in prior work in management science, statistics and machine learning that using an ensemble of models often results in better performance than using a single ‘...
122
click to vote
DIS
2005
Springer
15 years 7 months ago
2005
Springer
Abstract. In this paper we explore a topic which is at the intersection of two areas of Machine Learning: namely Support Vector Machines (SVMs) and Inductive Logic Programming (ILP...