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130
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ASUNAM
2010
IEEE
15 years 5 months ago
Semi-Supervised Classification of Network Data Using Very Few Labels
The goal of semi-supervised learning (SSL) methods is to reduce the amount of labeled training data required by learning from both labeled and unlabeled instances. Macskassy and Pr...
Frank Lin, William W. Cohen
159
Voted
MIAR
2006
IEEE
15 years 9 months ago
A General Learning Framework for Non-rigid Image Registration
This paper presents a general learning framework for non-rigid registration of MR brain images. Given a set of training MR brain images, three major types of information are partic...
Guorong Wu, Feihu Qi, Dinggang Shen
139
Voted
IJCAI
2007
15 years 5 months ago
General Game Learning Using Knowledge Transfer
We present a reinforcement learning game player that can interact with a General Game Playing system and transfer knowledge learned in one game to expedite learning in many other ...
Bikramjit Banerjee, Peter Stone
105
Voted
DAC
2002
ACM
16 years 4 months ago
Constraint-driven communication synthesis
Constraint-driven Communication Synthesis enables the automatic design of the communication architecture of a complex system from a library of pre-defined Intellectual Property (I...
Alessandro Pinto, Luca P. Carloni, Alberto L. Sang...
149
Voted
WG
2009
Springer
15 years 10 months ago
The Parameterized Complexity of Some Minimum Label Problems
We study the parameterized complexity of several minimum label graph problems, in which we are given an undirected graph whose edges are labeled, and a property Π, and we are ask...
Michael R. Fellows, Jiong Guo, Iyad A. Kanj