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» Boosting Methods for Regression
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130
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3DPVT
2004
IEEE
131views Visualization» more  3DPVT 2004»
15 years 7 months ago
Neural Mesh Ensembles
This paper proposes the use of neural network ensembles to boost the performance of a neural network based surface reconstruction algorithm. Ensemble is a very popular and powerfu...
Ioannis P. Ivrissimtzis, Yunjin Lee, Seungyong Lee...
110
Voted
ERCIMDL
2006
Springer
173views Education» more  ERCIMDL 2006»
15 years 7 months ago
Evaluation of Relevance and Knowledge Augmentation in Discussion Search
Annotation-based discussions are an important concept for today's digital libraries and those of the future, containing additional information to and about the content managed...
Ingo Frommholz, Norbert Fuhr
114
Voted
WSC
2007
15 years 6 months ago
Establishing man-machine ratio using simulation
Effective use of machines and headcounts is essential in manufacturing for high return of investment from expensive resources in today’s competitive business environment. It is ...
Hoay Hoon Ong
118
Voted
NAACL
2007
15 years 5 months ago
A Probabilistic Framework for Answer Selection in Question Answering
This paper describes a probabilistic answer selection framework for question answering. In contrast with previous work using individual resources such as ontologies and the Web to...
Jeongwoo Ko, Luo Si, Eric Nyberg
120
Voted
NAACL
2007
15 years 5 months ago
Using "Annotator Rationales" to Improve Machine Learning for Text Categorization
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
Omar Zaidan, Jason Eisner, Christine D. Piatko