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» Reconciling Feature Modeling: A Feature Modeling Metamodel
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NLPRS
2001
Springer
15 years 11 months ago
A Maximum Entropy Tagger with Unsupervised Hidden Markov Models
We describe a new tagging model where the states of a hidden Markov model (HMM) estimated by unsupervised learning are incorporated as the features in a maximum entropy model. Our...
Jun'ichi Kazama, Yusuke Miyao, Jun-ichi Tsujii
CPE
2000
Springer
369views Hardware» more  CPE 2000»
15 years 11 months ago
Petri Net Modelling and Performability Evaluation with TimeNET 3.0
Abstract. This paper presents TimeNET, a software tool for the modelling and performability evaluation using stochastic Petri nets. The tool has been designed especially for models...
Armin Zimmermann, Jörn Freiheit, Reinhard Ger...
EWDW
1990
15 years 11 months ago
Semantics of Object-Oriented Data Models - The Evolving Algebra Approach
The formal description of the semantics of object-oriented data models is still an open problem. Some characteristic features of object-oriented data models, such as methods and i...
Georg Gottlob, Gerti Kappel, Michael Schrefl
ICASSP
2009
IEEE
15 years 10 months ago
Graphical Models: Statistical inference vs. determination
Using discrete Hidden-Markov-Models (HMMs) for recognition requires the quantization of the continuous feature vectors. In handwritten whiteboard note recognition it turns out tha...
Joachim Schenk, Benedikt Hörnler, Artur Braun...
AI
2006
Springer
15 years 10 months ago
A Classification-Based Glioma Diffusion Model Using MRI Data
Gliomas are diffuse, invasive brain tumors. We propose a 3D classification-based diffusion model, cdm, that predicts how a glioma will grow at a voxel-level, on the basis of featur...
Marianne Morris, Russell Greiner, Jörg Sander...