4 search results - page 1 / 1 » The sequence memoizer |
CACM
2011
12 years 11 months ago
2011
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
DCC
2010
IEEE
13 years 11 months ago
2010
IEEE
In this work we describe a sequence compression method based on combining a Bayesian nonparametric sequence model with entropy encoding. The model, a hierarchy of Pitman-Yor proce...
VLDB
1997
ACM
13 years 8 months ago
1997
ACM
Query optimizers that explore a search space exhaustively using transformation rules usually apply all possible rules on each alternative, and stop when no new information is prod...