2363 search results - page 26 / 473 » Learning Algorithms for Domain Adaptation |
EMNLP
2007
13 years 9 months ago
2007
We present a data-driven variant of the LR algorithm for dependency parsing, and extend it with a best-first search for probabilistic generalized LR dependency parsing. Parser act...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
ICOST
2011
Springer
12 years 11 months ago
2011
Springer
Abstract. Recently researchers have proposed activity recognition methods based on adapting activity knowledge obtained in previous spaces to a new space. Adapting activity knowled...
AAAI
2010
13 years 9 months ago
2010
Methods for discovering causal knowledge from observational data have been a persistent topic of AI research for several decades. Essentially all of this work focuses on knowledge...