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CORR
2010
Springer
170views Education» more  CORR 2010»
15 years 7 months ago
Global Optimization for Value Function Approximation
Existing value function approximation methods have been successfully used in many applications, but they often lack useful a priori error bounds. We propose a new approximate bili...
Marek Petrik, Shlomo Zilberstein
CORR
2010
Springer
130views Education» more  CORR 2010»
15 years 7 months ago
Approximated Structured Prediction for Learning Large Scale Graphical Models
In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...
Tamir Hazan, Raquel Urtasun
ALT
2000
Springer
16 years 3 months ago
On Approximate Learning by Multi-layered Feedforward Circuits
Abstract. We consider the problem of efficient approximate learning by multilayered feedforward circuits subject to two objective functions. First, we consider the objective to ma...
Bhaskar DasGupta, Barbara Hammer
ILP
2004
Springer
16 years 6 days ago
Learning an Approximation to Inductive Logic Programming Clause Evaluation
One challenge faced by many Inductive Logic Programming (ILP) systems is poor scalability to problems with large search spaces and many examples. Randomized search methods such as ...
Frank DiMaio, Jude W. Shavlik
AIMSA
2010
Springer
15 years 8 months ago
Expressive Approximations in DL-Lite Ontologies
Abstract. Ontology based data access (OBDA) is concerned with providing access to typically very large data sources through a mediating conceptual layer that allows one to improve ...
Elena Botoeva, Diego Calvanese, Mariano Rodriguez-...