ILP: Just do it
Publication
, Conference
Page, D
Published in: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
January 1, 2000
Inductive logic programming (ILP) is built on a foundation laid by research in other areas of computational logic. But in spite of this strong foundation, at 10 years of age ILP now faces a number of new challenges brought on by exciting application opportunities. The purpose of this paper is to interest researchers from other areas of computational logic in contributing their special skill sets to help ILP meet these challenges. The paper presents five future research directions for ILP and points to initial approaches or results where they exist. It is hoped that the paper will motivate researchers from throughout computational logic to invest some time into "doing" ILP.
Duke Scholars
Published In
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
DOI
ISSN
0302-9743
ISBN
9783540677970
Publication Date
January 1, 2000
Volume
1861
Start / End Page
25 / 40
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Page, D. (2000). ILP: Just do it. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 1861, pp. 25–40). https://doi.org/10.1007/3-540-44957-4_2
Page, D. “ILP: Just do it.” In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 1861:25–40, 2000. https://doi.org/10.1007/3-540-44957-4_2.
Page D. ILP: Just do it. In: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2000. p. 25–40.
Page, D. “ILP: Just do it.” Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), vol. 1861, 2000, pp. 25–40. Scopus, doi:10.1007/3-540-44957-4_2.
Page D. ILP: Just do it. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2000. p. 25–40.
Published In
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
DOI
ISSN
0302-9743
ISBN
9783540677970
Publication Date
January 1, 2000
Volume
1861
Start / End Page
25 / 40
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences