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» On the Learnability of Vector Spaces
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BIRTHDAY
2008
Springer
13 years 9 months ago
Finite Dimensional Vector Spaces Are Complete for Traced Symmetric Monoidal Categories
We show that the category FinVectk of finite dimensional vector spaces and linear maps over any field k is (collectively) complete for the traced symmetric monoidal category freely...
Masahito Hasegawa, Martin Hofmann, Gordon D. Plotk...
ACL
1998
13 years 8 months ago
Entity-Based Cross-Document Coreferencing Using the Vector Space Model
Cross-document coreference occurs when the same person, place, event, or concept is discussed in more than one text source. Computer recognition of this phenomenon is important be...
Amit Bagga, Breck Baldwin
TREC
2007
13 years 8 months ago
Passage Retrieval with Vector Space and Query-Level Aspect Models
This report describes the joint work by Kyoto University and the University of Melbourne for the TREC Genomics Track in 2007. As with 2006, the task for this year was the retrieva...
Raymond Wan, Vo Ngoc Anh, Hiroshi Mamitsuka
ML
2002
ACM
223views Machine Learning» more  ML 2002»
13 years 7 months ago
Text Categorization with Support Vector Machines. How to Represent Texts in Input Space?
The choice of the kernel function is crucial to most applications of support vector machines. In this paper, however, we show that in the case of text classification, term-frequenc...
Edda Leopold, Jörg Kindermann
EMMCVPR
1999
Springer
13 years 11 months ago
Adaptive Bayesian Contour Estimation: A Vector Space Representation Approach
Abstract. We propose a vector representation approach to contour estimation from noisy data. Images are modeled as random elds composed of a set of homogeneous regions contours (bo...
José M. B. Dias