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ECML
2006
Springer
14 years 2 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»
14 years 2 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»
14 years 2 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
14 years 2 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
14 years 1 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...