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» Some new directions in graph-based semi-supervised learning
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IEEECIT
2009
IEEE
14 years 8 days ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi
DAM
2006
63views more  DAM 2006»
13 years 5 months ago
A new family of proximity graphs: Class cover catch digraphs
Motivated by issues in machine learning and statistical pattern classification, we investigate a class cover problem (CCP) with an associated family of directed graphs--class cove...
Jason DeVinney, Carey E. Priebe
SPIESR
2001
160views Database» more  SPIESR 2001»
13 years 7 months ago
New frontiers for intelligent content-based retrieval
In this paper, we examine emerging frontiers in the evolution of content-based retrieval systems that rely on an intelligent infrastructure. Here, we refer to intelligence as the ...
Ana B. Benitez, John R. Smith
ICML
1998
IEEE
14 years 6 months ago
Relational Reinforcement Learning
Relational reinforcement learning (RRL) is both a young and an old eld. In this paper, we trace the history of the eld to related disciplines, outline some current work and promis...
Kurt Driessens
ICML
1995
IEEE
14 years 6 months ago
Residual Algorithms: Reinforcement Learning with Function Approximation
A number of reinforcement learning algorithms have been developed that are guaranteed to converge to the optimal solution when used with lookup tables. It is shown, however, that ...
Leemon C. Baird III