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» Algorithmic Randomness of Closed Sets
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NIPS
2000
15 years 5 months ago
Active Learning for Parameter Estimation in Bayesian Networks
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
Simon Tong, Daphne Koller
IJHIS
2007
89views more  IJHIS 2007»
15 years 4 months ago
A new hybrid heuristic for driver scheduling
This paper describes a new hybrid method based on the application of the Population Training Algorithm (PTA) and linear programming (LP) for generation of schedules for drivers in...
Geraldo R. Mauri, Luiz Antonio Nogueira Lorena
COCOON
2001
Springer
15 years 8 months ago
On-Line Variable Sized Covering
We consider one-dimensional and multi-dimensional vector covering with variable sized bins. In the one-dimensional case, we consider variable sized bin covering with bounded item ...
Leah Epstein
GBRPR
2007
Springer
15 years 8 months ago
Constellations and the Unsupervised Learning of Graphs
Abstract. In this paper, we propose a novel method for the unsupervised clustering of graphs in the context of the constellation approach to object recognition. Such method is an E...
Boyan Bonev, Francisco Escolano, Miguel Angel Loza...
COCO
2008
Springer
108views Algorithms» more  COCO 2008»
15 years 6 months ago
Exponential Separation of Quantum and Classical Non-interactive Multi-party Communication Complexity
We give the first exponential separation between quantum and classical multi-party communication complexity in the (non-interactive) one-way and simultaneous message passing setti...
Dmitry Gavinsky, Pavel Pudlák