1414 search results - page 152 / 283 » Randomness and Universal Machines |
ALT
2010
Springer
15 years 2 months ago
2010
Springer
We address the problem of constructing randomized online algorithms for the Metrical Task Systems (MTS) problem on a metric against an oblivious adversary. Restricting our attenti...
116
Voted
ACL
2008
15 years 2 months ago
2008
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
112
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
106
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
128
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
Hashing based Approximate Nearest Neighbor (ANN) search has attracted much attention due to its fast query time and drastically reduced storage. However, most of the hashing metho...