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» A Linear Belief Function Approach to Portfolio Evaluation
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VMV
2003
154views Visualization» more  VMV 2003»
13 years 9 months ago
Piecewise Linear Approximation of Signed Distance Fields
The signed distance field of a surface can effectively support many geometry processing tasks such as decimation, smoothing, and Boolean operations since it provides efficient a...
Jianhua Wu, Leif Kobbelt
CORR
1998
Springer
79views Education» more  CORR 1998»
13 years 7 months ago
Linear Segmentation and Segment Significance
We present a new method for discovering a segmental discourse structure of a document while categorizing each segment's function and importance. Segments are determined by a ...
Min-Yen Kan, Judith L. Klavans, Kathleen McKeown
NIPS
1994
13 years 9 months ago
Combining Estimators Using Non-Constant Weighting Functions
This paper discusses the linearly weighted combination of estimators in which the weighting functions are dependent on the input. We show that the weighting functions can be deriv...
Volker Tresp, Michiaki Taniguchi
ATAL
2008
Springer
13 years 9 months ago
Multi-robot Markov random fields
We propose Markov random fields (MRFs) as a probabilistic mathematical model for unifying approaches to multi-robot coordination or, more specifically, distributed action selectio...
Jesse Butterfield, Odest Chadwicke Jenkins, Brian ...
IJCNN
2006
IEEE
14 years 1 months ago
Learning to Rank by Maximizing AUC with Linear Programming
— Area Under the ROC Curve (AUC) is often used to evaluate ranking performance in binary classification problems. Several researchers have approached AUC optimization by approxi...
Kaan Ataman, W. Nick Street, Yi Zhang