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ECML
2006
Springer
15 years 10 months ago
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Sébastien Jodogne, Cyril Briquet, Justus H....
ECML
2006
Springer
15 years 10 months ago
Active Learning with Irrelevant Examples
Abstract. Active learning algorithms attempt to accelerate the learning process by requesting labels for the most informative items first. In real-world problems, however, there ma...
Dominic Mazzoni, Kiri Wagstaff, Michael C. Burl
ECOOP
2006
Springer
15 years 10 months ago
Automated Detection of Refactorings in Evolving Components
Abstract. One of the costs of reusing software components is updating applications to use the new version of the components. Updating an application can be error-prone, tedious, an...
Danny Dig, Can Comertoglu, Darko Marinov, Ralph E....
EMO
2006
Springer
144views Optimization» more  EMO 2006»
15 years 10 months ago
Evolutionary Multiobjective Optimization of Steel Structural Systems in Tall Buildings
This paper presents results of extensive computational experiments in which evolutionary multiobjective algorithms were used to find Pareto-optimal solutions to a complex structura...
Rafal Kicinger, Shigeru Obayashi, Tomasz Arciszews...
ER
2006
Springer
96views Database» more  ER 2006»
15 years 10 months ago
Understanding the Semantics of Data Provenance to Support Active Conceptual Modeling
: Data Provenance refers to the lineage of data including its origin, key events that occur over the course of its lifecycle, and other details associated with data creation, proce...
Sudha Ram, Jun Liu
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