1679 search results - page 4 / 336 » Learning Word Clusters from Data Types |
SSPR
2004
Springer
14 years 22 days ago
2004
Springer
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
KDD
2002
ACM
14 years 7 months ago
2002
ACM
Categories and Subject Descriptors Information Storage and Retrieval Clustering General Terms Keywords
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We present a novel unsupervised learning scheme that simultaneously clusters variables of several types (e.g., documents, words and authors) based on pairwise interactions between...
LREC
2010
13 years 8 months ago
2010
This paper presented an overview of Chinese bi-character words' morphological types, and proposed a set of features for machine learning approaches to predict these types bas...
PRIB
2009
Springer
14 years 1 months ago
2009
Springer
For many biomedical modelling tasks a number of different types of data may influence predictions made by the model. An established approach to pursuing supervised learning with ...