2363 search results - page 239 / 473 » Learning Algorithms for Domain Adaptation |
101
click to vote
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...
105
Voted
ACSAC
1999
IEEE
15 years 5 months ago
1999
IEEE
Differentiating anomalous network activity from normal network traffic is difficult and tedious. A human analyst must search through vast amounts of data to find anomalous sequenc...
91
Voted
AAAI
1996
15 years 2 months ago
1996
We formalize a model for supervised learning of action strategies in dynamic stochastic domains and show that PAC-learning results on Occam algorithms hold in this model as well. W...
96
Voted
JMLR
2010
14 years 7 months ago
2010
The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...
105
Voted
WEBDB
2009
Springer
15 years 7 months ago
2009
Springer
We study the problem of automatically discovering semantic associations between schema elements, namely foreign keys. This problem is important in all applications where data sets...