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» Building a Knowledge Base: An Example
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COLING
2002
15 years 17 days ago
A Maximum Entropy-based Word Sense Disambiguation System
In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowl...
Armando Suárez, Manuel Palomar
112
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ACSC
2004
IEEE
15 years 4 months ago
Code Improvements for Model Elimination Based Reasoning Systems
We have been investigating ways in which the performance of model elimination based systems can be improved and in this paper we present some of our results. Firstly, we have inve...
Richard A. Hagen, Scott D. Goodwin, Abdul Sattar
SG
2005
Springer
15 years 6 months ago
Automatic Cross-Sectioning Based on Topological Volume Skeletonization
: Cross-sectioning is a popular method for visualizing the complicated inner structures of three-dimensional volume datasets. However, the process is usually manual, meaning that a...
Yuki Mori, Shigeo Takahashi, Takeo Igarashi, Yurik...
ICVS
2003
Springer
15 years 6 months ago
Navigating through Logic-Based Scene Models for High-Level Scene Interpretations
This paper explores high-level scene interpretation with logic-based conceptual models. The main interest is in aggregates which describe interesting co-occurrences of physical obj...
Bernd Neumann, Thomas Weiss
110
Voted
PKDD
1999
Springer
101views Data Mining» more  PKDD 1999»
15 years 5 months ago
Rule Induction in Cascade Model Based on Sum of Squares Decomposition
A cascade model is a rule induction methodology using levelwise expansion of an itemset lattice, where the explanatory power of a rule set and its constituent rules are quantitativ...
Takashi Okada