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ACL
2003
14 years 11 months ago
Unsupervised Learning of Dependency Structure for Language Modeling
This paper presents a dependency language model (DLM) that captures linguistic constraints via a dependency structure, i.e., a set of probabilistic dependencies that express the r...
Jianfeng Gao, Hisami Suzuki
ML
2002
ACM
123views Machine Learning» more  ML 2002»
14 years 9 months ago
Feature Generation Using General Constructor Functions
Most classification algorithms receive as input a set of attributes of the classified objects. In many cases, however, the supplied set of attributes is not sufficient for creatin...
Shaul Markovitch, Dan Rosenstein
IDEAS
2009
IEEE
104views Database» more  IDEAS 2009»
15 years 4 months ago
An organizational file permission management system using the cellular data system
In designing dynamic situations such as cyberworlds, we the Incrementally Modular Abstraction Hierarchy (IMAH) to be an appropriate mathematical background to model dynamically ch...
Toshio Kodama, Tosiyasu L. Kunii, Yoichi Seki
JCC
2002
127views more  JCC 2002»
14 years 9 months ago
Effective Born radii in the generalized Born approximation: The importance of being perfect
: Generalized Born (GB) models provide, for many applications, an accurate and computationally facile estimate of the electrostatic contribution to aqueous solvation. The GB models...
Alexey Onufriev, David A. Case, Donald Bashford
ICML
2003
IEEE
15 years 10 months ago
An Analysis of Rule Evaluation Metrics
In this paper we analyze the most popular evaluation metrics for separate-and-conquer rule learning algorithms. Our results show that all commonly used heuristics, including accur...
Johannes Fürnkranz, Peter A. Flach