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» On Unbiased Linear Approximations
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107
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SODA
2008
ACM
100views Algorithms» more  SODA 2008»
15 years 2 months ago
On allocations that maximize fairness
We consider a problem known as the restricted assignment version of the max-min allocation problem with indivisible goods. There are n items of various nonnegative values and m pl...
Uriel Feige
105
Voted
NIPS
2007
15 years 2 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
SDM
2007
SIAM
109views Data Mining» more  SDM 2007»
15 years 2 months ago
Segmentations with Rearrangements
Sequence segmentation is a central problem in the analysis of sequential and time-series data. In this paper we introduce and we study a novel variation to the segmentation proble...
Aristides Gionis, Evimaria Terzi
106
Voted
VMV
2008
120views Visualization» more  VMV 2008»
15 years 2 months ago
Thinning Mesh Animations
Three-dimensional animation sequences are often represented by a discrete set of compatible triangle meshes. In order to create the illusion of a smooth motion, a sequence usually...
Tim Winkler, Jens Drieseberg, Kai Hormann, Alexand...
106
Voted
AIIDE
2006
15 years 2 months ago
The Self Organization of Context for Learning in MultiAgent Games
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Christopher D. White, Dave Brogan