112 search results - page 11 / 23 » Beam sampling for the infinite hidden Markov model |
JMLR
2010
13 years 2 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
INTERSPEECH
2010
13 years 2 months ago
2010
We investigate incremental word learning in a Hidden Markov Model (HMM) framework suitable for human-robot interaction. In interactive learning, the tutoring time is a crucial fac...
AIPS
2000
13 years 8 months ago
2000
1 We consider the problem of scheduling an unknown sequence of tasks for a single server as the tasks arrive with the goal off maximizing the total weighted value of the tasks serv...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We propose statistical predicate invention as a key problem for statistical relational learning. SPI is the problem of discovering new concepts, properties and relations in struct...
KBSE
2009
IEEE
14 years 2 months ago
2009
IEEE
—Abbreviation Completion is a novel technique to improve the efficiency of code-writing by supporting code completion of multiple keywords based on non-predefined abbreviated inp...