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» Using probabilistic model checking in systems biology
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NIPS
2001
15 years 8 months ago
Natural Language Grammar Induction Using a Constituent-Context Model
This paper presents a novel approach to the unsupervised learning of syntactic analyses of natural language text. Most previous work has focused on maximizing likelihood according...
Dan Klein, Christopher D. Manning
ENTCS
2006
172views more  ENTCS 2006»
15 years 6 months ago
Efficient Detection of Conflicts in Graph-based Model Transformation
Using graph transformation as a formalism to specify model transformation, termination and confluence of the graph transformation system are often required properties. Only under ...
Leen Lambers, Hartmut Ehrig, Fernando Orejas
AIME
2009
Springer
15 years 11 months ago
Prediction of Mechanical Lung Parameters Using Gaussian Process Models
Abstract. Mechanical ventilation can cause severe lung damage by inadequate adjustment of the ventilator. We introduce a Machine Learning approach to predict the pressure-dependent...
Steven Ganzert, Stefan Kramer, Knut Möller, D...
AC
1998
Springer
15 years 6 months ago
Cellular Automata Models of Self-Replicating Systems
Abstract: Since von Neumann's seminal work around 1950, computer scientists and others have studied the algorithms needed to support self-replicating systems. Much of this wor...
James A. Reggia, Hui-Hsien Chou, Jason D. Lohn
CIKM
2009
Springer
15 years 11 months ago
An empirical study on using hidden markov model for search interface segmentation
This paper describes a hidden Markov model (HMM) based approach to perform search interface segmentation. Automatic processing of an interface is a must to access the invisible co...
Ritu Khare, Yuan An