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SCALESPACE
2009
Springer
14 years 2 months ago
An Elasticity Approach to Principal Modes of Shape Variation
Abstract. Concepts from elasticity are applied to analyze modes of variation on shapes in two and three dimensions. This approach represents a physically motivated alternative to s...
Martin Rumpf, Benedikt Wirth
ACL
2007
13 years 9 months ago
A Seed-driven Bottom-up Machine Learning Framework for Extracting Relations of Various Complexity
A minimally supervised machine learning framework is described for extracting relations of various complexity. Bootstrapping starts from a small set of n-ary relation instances as...
Feiyu Xu, Hans Uszkoreit, Hong Li
JAIR
2000
102views more  JAIR 2000»
13 years 7 months ago
A Model of Inductive Bias Learning
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
Jonathan Baxter
INFOCOM
1997
IEEE
14 years 5 days ago
Analyzing Non-Determinism in Telecommunication Services Using P-Invariant of Petri-Net Model
The non-deterministic behaviors in telecommunication services are well-known as one of the most typical Feature Interactions, and they should be detected and eliminated from the t...
Masahide Nakamura, Yoshiaki Kakuda, Tohru Kikuno
WWW
2011
ACM
13 years 2 months ago
Information credibility on twitter
We analyze the information credibility of news propagated through Twitter, a popular microblogging service. Previous research has shown that most of the messages posted on Twitter...
Carlos Castillo, Marcelo Mendoza, Barbara Poblete