752 search results - page 15 / 151 » A Markov Chain Model Checker |
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...
SIGIR
2004
ACM
14 years 2 months ago
2004
ACM
In recent years, statistical language models are being proposed as alternative to the vector space model. Viewing documents as language samples introduces the issue of defining a...
QEST
2006
IEEE
14 years 2 months ago
2006
IEEE
NIPS
2003
13 years 10 months ago
2003
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
NIPS
2008
13 years 10 months ago
2008
We introduce a new probability distribution over a potentially infinite number of binary Markov chains which we call the Markov Indian buffet process. This process extends the IBP...