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» A Multi-Resolution Relational Data Model
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MIAR
2006
IEEE
15 years 9 months ago
Robust Click-Point Linking for Longitudinal Follow-Up Studies
This paper proposes a novel framework for robust click-point linking: efficient localized registration that allows users to interactively prescribe where the accuracy has to be hig...
Kazunori Okada, Xiaolei Huang, Xiang Zhou, Arun Kr...
DIS
2006
Springer
15 years 6 months ago
Optimal Bayesian 2D-Discretization for Variable Ranking in Regression
In supervised machine learning, variable ranking aims at sorting the input variables according to their relevance w.r.t. an output variable. In this paper, we propose a new relevan...
Marc Boullé, Carine Hue
IJCAI
1997
15 years 4 months ago
Learning Topological Maps with Weak Local Odometric Information
cal maps provide a useful abstraction for robotic navigation and planning. Although stochastic mapscan theoreticallybe learned using the Baum-Welch algorithm,without strong prior ...
Hagit Shatkay, Leslie Pack Kaelbling
KDD
2008
ACM
259views Data Mining» more  KDD 2008»
16 years 3 months ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
WSC
2008
15 years 5 months ago
Demand forecast of semiconductor products based on technology diffusion
Demand forecast plays a critical role to determine capital investment for capacity planning. Given the involved uncertainties and long lead-time for capacity expansion, semiconduc...
Chen-Fu Chien, Yun-Ju Chen, Jin-Tang Peng