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ACL
2010
14 years 9 months ago
Hierarchical Joint Learning: Improving Joint Parsing and Named Entity Recognition with Non-Jointly Labeled Data
One of the main obstacles to producing high quality joint models is the lack of jointly annotated data. Joint modeling of multiple natural language processing tasks outperforms si...
Jenny Rose Finkel, Christopher D. Manning
BMCBI
2011
14 years 6 months ago
Hierarchical graphs for rule-based modeling of biochemical systems
Background: In rule-based modeling, graphs are used to represent molecules: a colored vertex represents a component of a molecule, a vertex attribute represents the internal state...
Nathan W. Lemons, Bin Hu, William S. Hlavacek
CAV
2012
Springer
251views Hardware» more  CAV 2012»
13 years 2 months ago
A Model Checker for Hierarchical Probabilistic Real-Time Systems
Real-life systems are usually hard to control, due to their complicated structures, quantitative time factors and even stochastic behaviors. In this work, we present a model checke...
Songzheng Song, Jun Sun 0001, Yang Liu 0003, Jin S...
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IGARSS
2009
14 years 9 months ago
Hierarchical Segmentation of Polarimetric SAR Images using Heterogeneous Clutter Models
In this paper, heterogeneous clutter models are introduced to describe Polarimetric Synthetic Aperture Radar (PolSAR) data. Based on the Spherically Invariant Random Vectors (SIRV...
Lionel Bombrun, Jean-Marie Beaulieu, Gabriel Vasil...
JMLR
2012
13 years 2 months ago
Hierarchical Latent Dictionaries for Models of Brain Activation
In this work, we propose a hierarchical latent dictionary approach to estimate the timevarying mean and covariance of a process for which we have only limited noisy samples. We fu...
Alona Fyshe, Emily B. Fox, David B. Dunson, Tom M....