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» Embedding Heterogeneous Data Using Statistical Models
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ACL
2012
12 years 1 months ago
Fast and Robust Part-of-Speech Tagging Using Dynamic Model Selection
This paper presents a novel way of improving POS tagging on heterogeneous data. First, two separate models are trained (generalized and domain-specific) from the same data set by...
Jinho D. Choi, Martha Palmer
DKE
2006
138views more  DKE 2006»
13 years 10 months ago
Using the uni-level description (ULD) to support data-model interoperability
We describe a framework called the Uni-Level Description (ULD) for accurately representing information from a broad range of data models. The ULD extends previous metadata-model a...
Shawn Bowers, Lois M. L. Delcambre
FASE
2003
Springer
14 years 3 months ago
Model-Based Development of Web Applications Using Graphical Reaction Rules
Abstract. The OMG’s Model-Driven Architecture focusses on the evolution and integration of applications across heterogeneous middleware platforms. Presently available instances o...
Reiko Heckel, Marc Lohmann
MICCAI
2007
Springer
14 years 11 months ago
Segmentation of Q-Ball Images Using Statistical Surface Evolution
In this article, we develop a new method to segment Q-Ball imaging (QBI) data. We first estimate the orientation distribution function (ODF) using a fast and robust spherical harmo...
Maxime Descoteaux, Rachid Deriche
DIS
2004
Springer
14 years 4 months ago
Mining Noisy Data Streams via a Discriminative Model
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
Fang Chu, Yizhou Wang, Carlo Zaniolo