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JSW
2007
66views more  JSW 2007»
14 years 11 months ago
Implementing Model-Based Data Structures using Transient Model Extensions
— Software is often constructed using a layered approach to encapsulate various functionality in corresponding layers. Individual requirements of each layer demand layer specifi...
Michael Thonhauser, Gernot Schmoelzer, Christian K...
SPIRE
2005
Springer
15 years 4 months ago
Rank-Sensitive Data Structures
Output-sensitive data structures result from preprocessing n items and are capable of reporting the items satisfying an on-line query in O(t(n) + ℓ) time, where t(n) is the cost ...
Iwona Bialynicka-Birula, Roberto Grossi
ECML
2007
Springer
15 years 5 months ago
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Xiao-Lin Li, Zhi-Hua Zhou
ICRA
2010
IEEE
185views Robotics» more  ICRA 2010»
14 years 9 months ago
Heteroscedastic Gaussian processes for data fusion in large scale terrain modeling
This paper presents a novel approach to data fusion for stochastic processes that model spatial data. It addresses the problem of data fusion in the context of large scale terrain ...
Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton...
DRR
2009
14 years 9 months ago
Using synthetic data safely in classification
When is it safe to use synthetic data in supervised classification? Trainable classifier technologies require large representative training sets consisting of samples labeled with...
Jean Nonnemaker, Henry Baird