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» On the Complexity of Function Learning
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LAMAS
2005
Springer
15 years 6 months ago
Multi-agent Relational Reinforcement Learning
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
124
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COLING
2010
14 years 7 months ago
Active Deep Networks for Semi-Supervised Sentiment Classification
This paper presents a novel semisupervised learning algorithm called Active Deep Networks (ADN), to address the semi-supervised sentiment classification problem with active learni...
Shusen Zhou, Qingcai Chen, Xiaolong Wang
ECAL
2007
Springer
15 years 7 months ago
Spatial Embedding and Complexity: The Small-World Is Not Enough
The “order for free” exhibited by some classes of system has been exploited by natural selection in order to build systems capable of exhibiting complex behaviour. Here we expl...
Christopher L. Buckley, Seth Bullock
ESANN
2006
15 years 2 months ago
Variants of Unsupervised Kernel Regression: General cost functions
We present an extension to a recent method for learning of nonlinear manifolds, which allows to incorporate general cost functions. We focus on the -insensitive loss and visually d...
Stefan Klanke, Helge Ritter
132
Voted
IMR
2003
Springer
15 years 6 months ago
Meshing Complexity of Single Part CAD Models
This paper proposes a method for predicting the complexity of meshing Computer Aided Design (CAD) geometries with unstructured, hexahedral, finite elements. Meshing complexity ref...
David R. White, Sunil Saigal, Steven J. Owen