113 search results - page 18 / 23 » Named Entity Recognition for Hungarian Using Various Machine... |
PRL
2011
12 years 10 months ago
2011
Benchmarking pattern recognition, machine learning and data mining methods commonly relies on real-world data sets. However, there are some disadvantages in using real-world data....
ICMLA
2010
13 years 5 months ago
2010
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
IJCAI
2003
13 years 9 months ago
2003
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
ICML
2009
IEEE
14 years 2 months ago
2009
IEEE
In real sequence labeling tasks, statistics of many higher order features are not sufficient due to the training data sparseness, very few of them are useful. We describe Sparse H...
WWW
2009
ACM
14 years 8 months ago
2009
ACM
Measuring the similarity between semantic relations that hold among entities is an important and necessary step in various Web related tasks such as relation extraction, informati...