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» Learning Behavior Models for Hybrid Timed Systems
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IFIPTCS
2000
15 years 4 months ago
Masaccio: A Formal Model for Embedded Components
Masaccio is a formal model for hybrid dynamical systems which are built from atomic discrete components (di erence equations) and atomic continuous components (di erential equation...
Thomas A. Henzinger
207
Voted
AUTOMATICA
2011
14 years 7 months ago
Timing and liveness in continuous Petri nets
Fluidification constitutes a relaxation technique for studying discrete event systems through fluidified approximated models, thus avoiding the state explosion problem. Moreove...
Carlos Renato Vázquez, Manuel Silva
141
Voted
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
15 years 6 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
133
Voted
TMI
2002
248views more  TMI 2002»
15 years 7 days ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
CIKM
2005
Springer
15 years 6 months ago
A hybrid approach to NER by MEMM and manual rules
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman