1351 search results - page 16 / 271 » Learning from compressed observations |
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
We show that it is possible to use data compression on independently obtained hypotheses from various tasks to algorithmically provide guarantees that the tasks are sufficiently r...
96
Voted
EUROCRYPT
2007
Springer
15 years 6 months ago
2007
Springer
We study conditional computational entropy: the amount of randomness a distribution appears to have to a computationally bounded observer who is given some correlated information....
EACL
2006
ACL Anthology
15 years 2 months ago
2006
ACL Anthology
We present a model for sentence compression that uses a discriminative largemargin learning framework coupled with a novel feature set defined on compressed bigrams as well as dee...
71
Voted
ICML
2004
IEEE
16 years 1 months ago
2004
IEEE
We present a trainable sequential-inference technique for processes with large state and observation spaces and relational structure. Our method assumes "reliable observation...
101
Voted
ICRA
2009
IEEE
15 years 7 months ago
2009
IEEE
— We provide a general approach for learning robotic motor skills from human demonstration. To represent an observed movement, a non-linear differential equation is learned such ...