329 search results - page 8 / 66 » Learning Compositional Categorization Models |
CORR
2010
Springer
13 years 7 months ago
2010
Springer
We propose a mathematical framework for a unification of the distributional theory of meaning in terms of vector space models, and a compositional theory for grammatical types, fo...
ML
2006
ACM
13 years 7 months ago
2006
ACM
Abstract Identifier attributes--very high-dimensional categorical attributes such as particular product ids or people's names--rarely are incorporated in statistical modeling....
SAC
2003
ACM
14 years 27 days ago
2003
ACM
Survey coding is the task of assigning a symbolic code from a predefined set of such codes to the answer given in response to an open-ended question in a questionnaire (aka surve...
MLDM
2005
Springer
14 years 1 months ago
2005
Springer
In supervised machine learning, the partitioning of the values (also called grouping) of a categorical attribute aims at constructing a new synthetic attribute which keeps the info...
ICIP
2002
IEEE
14 years 9 months ago
2002
IEEE
Color is one of the main visual cues and has been frequently used in image processing, analysis and retrieval. The extraction of highlevel color descriptors is an increasingly imp...