Introduction to Statistical Relational Learning 经典专著，需要的拿去，卖点小钱。
The goal of this book is to bring together important research at the intersection
of statistical, logical and relational learning. The material in the collection is
aimed at graduate students and researchers in machine learning and artificial
intelligence. While by no means exhaustive, the articles introduce a wide variety of
recent approaches to combining expressive knowledge representation and statistical
learning.
The idea for this book emerged from a series of successful workshops addressing
these issues:
Learning Statistical Models from Relational Data (SRL2000) at the National
Conference on Artificial Intelligence, AAAI-2000, organized by Lise Getoor and
David Jensen.
Learning Statistical Models from Relational Data (SRL2003) at the International
Joint Conference on Artificial Intelligence, (IJCAI-2003), organized by Lise
Getoor and David Jensen.
Statistical Relational Learning and its Connections to Other Fields (SRL2004)
at the International Conference on Machine Learning, (ICML2004), organized by
Tom Dietterich, Lise Getoor and Kevin Murphy.
Probabilistic, Logical and Relational Learning - Towards a Synthesis, Dagstuhl
Seminar 2005, organized by Luc De Raedt, Thomas Dietterich, Lise Getoor and
Stephen Muggleton.
Open Problems in Statistical Relational Learning (SRL2006) at the International
Conference on Machine Learning, (ICML2006), organized by Alan Fern, Lise
Getoor, and Brian Milch.
We would like to thank all of the participants at these workshops for their
intellectual contributions and also for creating a warm and welcoming research
community coming together from several distinct research areas.
In addition, there have been several other closely related workshops, including
the series of workshops on Multi-Relational Data Mining held in conjunction with
the Knowledge Discovery and Data Mining Conference beginning in 2002 organized
by Saˇso Dˇzeroski, Luc De Raedt, Stefan Wrobel, and Hendrik Blockeel.