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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....
GECCO
2006
Springer
151views Optimization» more  GECCO 2006»
15 years 10 months ago
Neighbourhood searches for the bounded diameter minimum spanning tree problem embedded in a VNS, EA, and ACO
We consider the Bounded Diameter Minimum Spanning Tree problem and describe four neighbourhood searches for it. They are used as local improvement strategies within a variable nei...
Martin Gruber, Jano I. van Hemert, Günther R....
GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
15 years 10 months ago
A new generation alternation model for differential evolution
We present a modified version of Differential Evolution (DE) for locating the global minimum at a higher convergence velocity. The proposed model differs from conventional DE by a...
Nasimul Noman, Hitoshi Iba
CCS
2010
ACM
15 years 10 months ago
Scene tagging: image-based CAPTCHA using image composition and object relationships
In this paper, we propose a new form of image-based CAPTCHA we term "scene tagging". It tests the ability to recognize a relationship between multiple objects in an imag...
Peter Matthews, Cliff Changchun Zou
CCS
2008
ACM
15 years 8 months ago
Avoiding timing channels in fixed-priority schedulers
A practically feasible modification to fixed-priority schedulers allows to avoid timing channels despite threads having access to precise clocks. This modification is rather simpl...
Marcus Völp, Claude-Joachim Hamann, Hermann H...