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ALT
2004
Springer
16 years 23 days ago
Probabilistic Inductive Logic Programming
Probabilistic inductive logic programming, sometimes also called statistical relational learning, addresses one of the central questions of artificial intelligence: the integratio...
Luc De Raedt, Kristian Kersting
VLDB
1999
ACM
127views Database» more  VLDB 1999»
15 years 8 months ago
Evaluating Top-k Selection Queries
In many applications, users specify target values for certain attributes, without requiring exact matches to these values in return. Instead, the result to such queries is typical...
Surajit Chaudhuri, Luis Gravano
CCS
1998
ACM
15 years 8 months ago
A Probabilistic Poly-Time Framework for Protocol Analysis
We develop a framework for analyzing security protocols in which protocol adversaries may be arbitrary probabilistic polynomial-time processes. In this framework, protocols are wr...
Patrick Lincoln, John C. Mitchell, Mark Mitchell, ...
ISEMANTICS
2010
15 years 5 months ago
Geographical linked data: a Spanish use case
We present the process that has been followed for the development of an application that makes use of several heterogeneous Spanish public datasets that are related to administrat...
Alexander de León, Victor Saquicela, Luis M...
ICML
2010
IEEE
15 years 4 months ago
Learning Programs: A Hierarchical Bayesian Approach
We are interested in learning programs for multiple related tasks given only a few training examples per task. Since the program for a single task is underdetermined by its data, ...
Percy Liang, Michael I. Jordan, Dan Klein