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» Formalization of Continuous Probability Distributions
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MLDM
2005
Springer
15 years 5 months ago
Multivariate Discretization by Recursive Supervised Bipartition of Graph
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...
Sylvain Ferrandiz, Marc Boullé
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
16 years 10 days ago
Cross domain distribution adaptation via kernel mapping
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...
FORMATS
2010
Springer
14 years 9 months ago
Simulation and Bisimulation for Probabilistic Timed Automata
Abstract. Probabilistic timed automata are an extension of timed automata with discrete probability distributions. Simulation and bisimulation relations are widely-studied in the c...
Jeremy Sproston, Angelo Troina
AI
2008
Springer
14 years 10 months ago
MEBN: A language for first-order Bayesian knowledge bases
Although classical first-order logic is the de facto standard logical foundation for artificial intelligence, the lack of a built-in, semantically grounded capability for reasonin...
Kathryn B. Laskey
ICCAD
2003
IEEE
99views Hardware» more  ICCAD 2003»
15 years 5 months ago
A Probabilistic Approach to Buffer Insertion
This work presents a formal probabilistic approach for solving optimization problems in design automation. Prediction accuracy is very low especially at high levels of design flo...
Vishal Khandelwal, Azadeh Davoodi, Akash Nanavati,...