5771 search results - page 183 / 1155 » Learning similarity space |
148
Voted
AIIDE
2006
15 years 5 months ago
2006
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...
176
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NIPS
2008
15 years 6 months ago
2008
For many supervised learning problems, we possess prior knowledge about which features yield similar information about the target variable. In predicting the topic of a document, ...
150
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ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
String kernels which compare the set of all common substrings between two given strings have recently been proposed by Vishwanathan & Smola (2004). Surprisingly, these kernels...
138
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ICML
2004
IEEE
16 years 5 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...
170
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SLSFS
2005
Springer
15 years 10 months ago
2005
Springer
We propose the use of latent space models applied to local invariant features for object classification. We investigate whether using latent space models enables to learn patterns...