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WIRN
2005
Springer
15 years 9 months ago
Recursive Neural Networks and Graphs: Dealing with Cycles
Recursive neural networks are a powerful tool for processing structured data. According to the recursive learning paradigm, the input information consists of directed positional ac...
Monica Bianchini, Marco Gori, Lorenzo Sarti, Franc...
COLT
2004
Springer
15 years 9 months ago
Regularization and Semi-supervised Learning on Large Graphs
We consider the problem of labeling a partially labeled graph. This setting may arise in a number of situations from survey sampling to information retrieval to pattern recognition...
Mikhail Belkin, Irina Matveeva, Partha Niyogi
HICSS
2009
IEEE
145views Biometrics» more  HICSS 2009»
15 years 11 months ago
Automatic Web Services Generation
This paper discusses the design and implementation of a Service Generator Toolkit (SGT) that allows web services researchers to easily create large numbers of web services. When d...
Ernest Cho, Sam Chung, Daniel Zimmerman
COMPSAC
2009
IEEE
15 years 11 months ago
Software Input Space Modeling with Constraints among Parameters
—This paper considers the task of software test case generation from a large space of values of input parameters. The purpose of the paper is to create a model of software input ...
Sergiy A. Vilkomir, W. Thomas Swain, Jesse H. Poor...
MST
2011
231views Hardware» more  MST 2011»
14 years 7 months ago
On the Complexity of Matroid Isomorphism Problem
We study the complexity of testing if two given matroids are isomorphic. The problem is easily seen to be in Σ p 2. In the case of linear matroids, which are represented over pol...
B. V. Raghavendra Rao, Jayalal M. N. Sarma