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NIPS
2001
15 years 5 months ago
Linear-time inference in Hierarchical HMMs
The hierarchical hidden Markov model (HHMM) is a generalization of the hidden Markov model (HMM) that models sequences with structure at many length/time scales [FST98]. Unfortuna...
K. P. Murphy, Mark A. Paskin
COLING
2000
15 years 5 months ago
Exploiting a Probabilistic Hierarchical Model for Generation
Previous stochastic approaches to generation do not include a tree-based representation of syntax. While this may be adequate or even advantageous for some applications, other app...
Srinivas Bangalore, Owen Rambow
MCS
2010
Springer
15 years 8 months ago
An Experimental Comparison of Hierarchical Bayes and True Path Rule Ensembles for Protein Function Prediction
Abstract. The computational genome-wide annotation of gene functions requires the prediction of hierarchically structured functional classes and can be formalized as a multiclass, ...
Matteo Re, Giorgio Valentini
143
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ALGORITHMICA
2006
132views more  ALGORITHMICA 2006»
15 years 3 months ago
Straight-Line Drawing Algorithms for Hierarchical Graphs and Clustered Graphs
Hierarchical graphs and clustered graphs are useful non-classical graph models for structured relational information. Hierarchical graphs are graphs with layering structures; clus...
Peter Eades, Qing-Wen Feng, Xuemin Lin, Hiroshi Na...
134
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ISCC
2000
IEEE
122views Communications» more  ISCC 2000»
15 years 8 months ago
Hierarchical Performance Modeling for Distributed System Architectures
Performance modeling and evaluation techniques are essential when designing and implementing distributed software systems. Constructing performance models for such systems can req...
Debra L. Smarkusky, Reda A. Ammar, Imad Antonios, ...