Sciweavers

798 search results - page 27 / 160
» Interval Methods: An Introduction
Sort
View
KDD
2010
ACM
175views Data Mining» more  KDD 2010»
14 years 1 months ago
Learning with cost intervals
Existing cost-sensitive learning methods work with unequal misclassification cost that is given by domain knowledge and appears as precise values. In many real-world applications,...
Xu-Ying Liu, Zhi-Hua Zhou
JDM
2007
56views more  JDM 2007»
13 years 10 months ago
Temporal Aggregation Using a Multidimensional Index
We present a new method for computing temporal aggregation that uses a multidimensional index. The novelty of our method lies in mapping the start time and end time of a temporal ...
Joon-Ho Woo, Byung Suk Lee, Min-Jae Lee, Woong-Kee...
ICCAD
1998
IEEE
82views Hardware» more  ICCAD 1998»
14 years 2 months ago
Symbolic model checking of process networks using interval diagram techniques
In this paper, an approach to symbolic model checking of process networks is introduced. It is based on interval decision diagrams (IDDs), a representation of multi-valued functio...
Karsten Strehl, Lothar Thiele
EUROGP
2007
Springer
143views Optimization» more  EUROGP 2007»
14 years 1 months ago
Confidence Intervals for Computational Effort Comparisons
Abstract. When researchers make alterations to the genetic programming algorithm they almost invariably wish to measure the change in performance of the evolutionary system. No one...
Matthew Walker, Howard Edwards, Chris H. Messom
AUTOMATICA
2008
97views more  AUTOMATICA 2008»
13 years 10 months ago
Injectivity analysis using interval analysis: Application to structural identifiability
This paper presents a new numerical algorithm based on interval analysis able to prove that a differentiable function f : A Rn Rn is injective. This algorithm also performs a par...
Sebastien Lagrange, Nicolas Delanoue, Luc Jaulin