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» Combining Data and Mathematical Models of Language Change
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FIW
2009
101views Communications» more  FIW 2009»
13 years 5 months ago
Feature Interaction Detection in the Feature Language Extensions
One of the most difficult tasks in software development is that features are implemented by changing the code of other features. This problem cannot be solved with existing general...
Lei Sun, Lu Zhoa, Yimeng Li, Wu-Hon F. Leung
ICMCS
2007
IEEE
132views Multimedia» more  ICMCS 2007»
14 years 1 months ago
An SVM Framework for Genre-Independent Scene Change Detection
We present a novel genre-independent SVM framework for detecting scene changes in broadcast video. Our framework works on content from a diverse range of genres by allowing sets o...
Naveen Goela, Kevin W. Wilson, Feng Niu, Ajay Diva...
BMCBI
2005
140views more  BMCBI 2005»
13 years 7 months ago
Dissecting systems-wide data using mixture models: application to identify affected cellular processes
Background: Functional analysis of data from genome-scale experiments, such as microarrays, requires an extensive selection of differentially expressed genes. Under many condition...
J. Peter Svensson, Renée X. de Menezes, Ing...
NIPS
2004
13 years 8 months ago
Using Random Forests in the Structured Language Model
In this paper, we explore the use of Random Forests (RFs) in the structured language model (SLM), which uses rich syntactic information in predicting the next word based on words ...
Peng Xu, Frederick Jelinek
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
14 years 1 months ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth