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130
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ECML
2006
Springer
15 years 7 months ago
Bayesian Learning of Markov Network Structure
Abstract. We propose a simple and efficient approach to building undirected probabilistic classification models (Markov networks) that extend na
Aleks Jakulin, Irina Rish
139
Voted
IJFCS
2007
98views more  IJFCS 2007»
15 years 3 months ago
Modular Ranking Abstraction
Ranking Abstraction Ittai Balaban Computer Science Department, New York University, 251 Mercer St., New York, New York 10012, United States and Amir Pnueli Computer Science Departm...
Ittai Balaban, Amir Pnueli, Lenore D. Zuck
133
Voted
PAAPP
2007
115views more  PAAPP 2007»
15 years 3 months ago
Quantum computing: beyond the limits of conventional computation
The quantum model of computation not only o ers entirely new ways to manipulate information, but also allows information processing tasks to be formulated in unconventional, genui...
Marius Nagy, Selim G. Akl
136
Voted
CGA
2007
15 years 3 months ago
From Abstract Painting to Information Visualization
abstract painting and practice can benefit information visualization—even though the two fields have significantly different objectives. This comparison reflects the spirit of ...
Kang Zhang
136
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IANDC
2008
114views more  IANDC 2008»
15 years 3 months ago
Generalizing the Paige-Tarjan algorithm by abstract interpretation
act Interpretation Francesco Ranzato and Francesco Tapparo Dipartimento di Matematica Pura ed Applicata, Universit`a di Padova, Italy The Paige and Tarjan algorithm (PT) for comp...
Francesco Ranzato, Francesco Tapparo