2934 search results - page 283 / 587 » Hypothesis Spaces for Learning |
200
Voted
JMLR
2008
15 years 6 months ago
2008
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
206
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AIPS
2007
15 years 9 months ago
2007
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
194
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BMVC
2010
15 years 4 months ago
2010
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
173
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COLT
2010
Springer
15 years 4 months ago
2010
Springer
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
171
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FGR
2008
IEEE
16 years 1 months ago
2008
IEEE
Many facial image analysis methods rely on learningbased techniques such as Adaboost or SVMs to project classifiers based on the selection of local image filters (e.g., Haar and...