1291 search results - page 73 / 259 » Learning Rules from Distributed Data |
127
Voted
ACL
2001
15 years 3 months ago
2001
A hybrid system is described which combines the strength of manual rulewriting and statistical learning, obtaining results superior to both methods if applied separately. The comb...
125
Voted
GECCO
2006
Springer
15 years 6 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
124
click to vote
NIPS
2000
15 years 3 months ago
2000
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
117
click to vote
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
In supervised learning, we commonly assume that training and test data are sampled from the same distribution. However, this assumption can be violated in practice and then standa...
201
Voted
EMNLP
2011
14 years 2 months ago
2011
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...