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» On the Learnability of Vector Spaces
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STOC
1993
ACM
117views Algorithms» more  STOC 1993»
13 years 11 months ago
Efficient noise-tolerant learning from statistical queries
In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
Michael J. Kearns
SCALESPACE
2001
Springer
13 years 11 months ago
Scale-Space Theories for Scalar and Vector Images
We define mutually consistent scale-space theories for scalar and vector images. Consistency pertains to the connection between the already established scalar theory and that for ...
Luc Florack
IJCAI
2003
13 years 8 months ago
Employing Trainable String Similarity Metrics for Information Integration
The problem of identifying approximately duplicate objects in databases is an essential step for the information integration process. Most existing approaches have relied on gener...
Mikhail Bilenko, Raymond J. Mooney
NAACL
2004
13 years 8 months ago
Cross-Document Coreference on a Large Scale Corpus
In this paper, we will compare and evaluate the effectiveness of different statistical methods in the task of cross-document coreference resolution. We created entity models for d...
Chung Heong Gooi, James Allan
CORR
2010
Springer
147views Education» more  CORR 2010»
13 years 7 months ago
A convenient differential category
In this paper, we show that the category of Mackey-complete, separated, topological convex bornological vector spaces and bornological linear maps is a differential category. Such...
Richard Blute, Thomas Ehrhard, Christine Tasson