249 search results - page 40 / 50 » MALEF: Framework for distributed machine learning and data m... |
CIKM
2008
Springer
13 years 8 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
CIKM
2008
Springer
13 years 8 months ago
2008
Springer
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
FLAIRS
2004
13 years 8 months ago
2004
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
SSDBM
2010
IEEE
13 years 11 months ago
2010
IEEE
Similarity search and data mining often rely on distance or similarity functions in order to provide meaningful results and semantically meaningful patterns. However, standard dist...
AAAI
2010
13 years 4 months ago
2010
Multi-instance learning, as other machine learning tasks, also suffers from the curse of dimensionality. Although dimensionality reduction methods have been investigated for many ...