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134
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ICML
2003
IEEE
16 years 3 months ago
Online Convex Programming and Generalized Infinitesimal Gradient Ascent
Convex programming involves a convex set F Rn and a convex cost function c : F R. The goal of convex programming is to find a point in F which minimizes c. In online convex prog...
Martin Zinkevich
GECCO
2009
Springer
135views Optimization» more  GECCO 2009»
15 years 9 months ago
Neuroevolutionary reinforcement learning for generalized helicopter control
Helicopter hovering is an important challenge problem in the field of reinforcement learning. This paper considers several neuroevolutionary approaches to discovering robust cont...
Rogier Koppejan, Shimon Whiteson
ICC
2007
IEEE
112views Communications» more  ICC 2007»
15 years 8 months ago
Multiuser Interference Balancing for General Interference Functions - A Convergence Analysis
Abstract—We address the problem of maximizing the minimum signal-to-interference ratio (SIR) in a multiuser system. In the context of resource allocation, this is referred to as ...
Holger Boche, Martin Schubert
136
Voted
KI
2005
Springer
15 years 8 months ago
Temporalizing Spatial Calculi: On Generalized Neighborhood Graphs
To reason about geographical objects, it is not only necessary to have more or less complete information about where these objects are located in space, but also how they can chang...
Marco Ragni, Stefan Wölfl
123
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EDBT
2009
ACM
108views Database» more  EDBT 2009»
15 years 7 months ago
Reverse k-nearest neighbor search in dynamic and general metric databases
In this paper, we propose an original solution for the general reverse k-nearest neighbor (RkNN) search problem. Compared to the limitations of existing methods for the RkNN searc...
Elke Achtert, Hans-Peter Kriegel, Peer Kröger...