10054 search results - page 91 / 2011 » On the Complexity of Function Learning |
88
Voted
AAMAS
2007
Springer
15 years 18 days ago
2007
Springer
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
103
Voted
ICALP
2009
Springer
16 years 23 days ago
2009
Springer
We present a range of new results for testing properties of Boolean functions that are defined in terms of the Fourier spectrum. Broadly speaking, our results show that the propert...
145
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NCA
2006
IEEE
15 years 12 days ago
2006
IEEE
The use of multilayer perceptrons (MLP) with threshold functions (binary step function activations) greatly reduces the complexity of the hardware implementation of neural networks...
118
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
We study the problem of learning a classification task in which only a dissimilarity function of the objects is accessible. That is, data are not represented by feature vectors bu...
124
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JIB
2006
15 years 13 days ago
2006
Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...