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AAAI
2010
14 years 11 months ago
Structure Learning for Markov Logic Networks with Many Descriptive Attributes
Many machine learning applications that involve relational databases incorporate first-order logic and probability. Markov Logic Networks (MLNs) are a prominent statistical relati...
Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyua...
SDM
2010
SIAM
226views Data Mining» more  SDM 2010»
14 years 11 months ago
Two-View Transductive Support Vector Machines
Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications, especially for Internet classification tasks like review spam...
Guangxia Li, Steven C. H. Hoi, Kuiyu Chang
ANSS
2005
IEEE
15 years 3 months ago
Approximation Techniques for the Analysis of Large Traffic-Groomed Tandem Optical Networks
We consider a traffic-groomed optical network consisting of N nodes arranged in tandem. This optical network is modeled by a tandem queueing network of multi-rate loss queues with...
Alicia Nicki Washington, Chih-Chieh Hsu, Harry G. ...
GCC
2004
Springer
15 years 3 months ago
Trust Establishment in Large Scale Grid Settings
Trust establishment is hard in grid architecture by the ad hoc nature. To set up trust in large scale of network is more difficult. In this paper, we propose an automatic key manag...
Bo Zhu, Tieyan Li, Huafei Zhu, Mohan S. Kankanhall...
EUROGP
2006
Springer
112views Optimization» more  EUROGP 2006»
15 years 1 months ago
The Halting Probability in Von Neumann Architectures
Abstract. Theoretical models of Turing complete linear genetic programming (GP) programs suggest the fraction of halting programs is vanishingly small. Convergence results proved f...
William B. Langdon, Riccardo Poli