2103 search results - page 75 / 421 » Approximate Learning of Dynamic Models |
140
Voted
ECCV
2010
Springer
15 years 7 months ago
2010
Springer
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
118
Voted
ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
118
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ML
2008
ACM
15 years 2 months ago
2008
ACM
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
123
Voted
SIGMETRICS
2010
ACM
15 years 1 months ago
2010
ACM
We introduce and analyze a deterministic fluid model that serves as an approximation for the Gt/GI/st + GI manyserver queueing model, which has a general time-varying arrival pro...
135
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
Restricted Boltzmann Machines (RBMs) are a type of probability model over the Boolean cube {-1, 1}n that have recently received much attention. We establish the intractability of ...