91 search results - page 6 / 19 » Learning to Find Graph Pre-images |
SODA
2001
ACM
13 years 11 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
UIST
1994
ACM
14 years 1 months ago
1994
ACM
We propose a new evolutionary method of extracting user preferences from examples shown to an automatic graph layout system. Using stochastic methods such as simulated annealing a...
EMNLP
2010
13 years 7 months ago
2010
Although many algorithms have been developed to harvest lexical resources, few organize the mined terms into taxonomies. We propose (1) a semi-supervised algorithm that uses a roo...
NAACL
2010
13 years 7 months ago
2010
We present a random-walk-based approach to learning paraphrases from bilingual parallel corpora. The corpora are represented as a graph in which a node corresponds to a phrase, an...
NIPS
2008
13 years 11 months ago
2008
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...