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CORR
2012
Springer
183views Education» more  CORR 2012»
14 years 2 months ago
Learning Determinantal Point Processes
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
Alex Kulesza, Ben Taskar
IROS
2009
IEEE
146views Robotics» more  IROS 2009»
16 years 1 months ago
Robust constraint-consistent learning
— Many everyday human skills can be framed in terms of performing some task subject to constraints imposed by the environment. Constraints are usually unobservable and frequently...
Matthew Howard, Stefan Klanke, Michael Gienger, Ch...
WEBDB
2009
Springer
115views Database» more  WEBDB 2009»
16 years 1 months ago
A Machine Learning Approach to Foreign Key Discovery
We study the problem of automatically discovering semantic associations between schema elements, namely foreign keys. This problem is important in all applications where data sets...
Alexandra Rostin, Oliver Albrecht, Jana Bauckmann,...
OTM
2007
Springer
16 years 22 days ago
Decentralised Commitment for Optimistic Semantic Replication
Abstract. We study large-scale distributed cooperative systems that use optimistic replication. We represent a system as a graph of actions (operations) connected by edges that rei...
Pierre Sutra, João Barreto, Marc Shapiro
UML
2004
Springer
15 years 12 months ago
Behavioral Domain Analysis - The Application-Based Domain Modeling Approach
Being part of domain engineering, domain analysis enables identifying domains and capturing their ontologies in order to assist and guide system developers to design domain-specifi...
Iris Reinhartz-Berger, Arnon Sturm