1516 search results - page 5 / 304 » On the Learnability of Vector Spaces |
VL
2007
IEEE
14 years 1 months ago
2007
IEEE
When creating new application programming interfaces (APIs), designers must make many decisions. These decisions affect the quality of the resulting APIs in terms of performance (...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
Coecke, Sadrzadeh, and Clark [3] developed a compositional model of meaning for distributional semantics, in which each word in a sentence has a meaning vector and the distributio...
ALT
2007
Springer
14 years 4 months ago
2007
Springer
Abstract. This work extends studies of Angluin, Lange and Zeugmann on the dependence of learning on the hypotheses space chosen for the class. In subsequent investigations, uniform...
ECIR
2008
Springer
13 years 8 months ago
2008
Springer
Word space models, in the sense of vector space models built on distributional data taken from texts, are used to model semantic relations between words. We argue that the high dim...