Logical and Relational Learning
This textbook covers logical and relational learning in depth, and hence provides an introduction to inductive logic programming (ILP), multirelational data mining (MRDM) and (statistical) relational learning (SRL). These subfields of data mining and machine learning are concerned with the analysis...
Συγγραφή απο Οργανισμό/Αρχή: | |
---|---|
Άλλοι συγγραφείς: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2008.
|
Σειρά: | Cognitive Technologies,
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- An Introduction to Logic
- An Introduction to Learning and Search
- Representations for Mining and Learning
- Generality and Logical Entailment
- The Upgrading Story
- Inducing Theories
- Probabilistic Logic Learning
- Kernels and Distances for Structured Data
- Computational Aspects of Logical and Relational Learning
- Lessons Learned.