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» Informative sampling for large unbalanced data sets
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DAGM
2004
Springer
15 years 9 months ago
Learning from Labeled and Unlabeled Data Using Random Walks
We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to...
Dengyong Zhou, Bernhard Schölkopf
ICRA
2003
IEEE
103views Robotics» more  ICRA 2003»
15 years 9 months ago
Simultaneous localization and mapping with unknown data association using fastSLAM
— The Extended Kalman Filter (EKF) has been the de facto approach to the Simultaneous Localization and Mapping (SLAM) problem for nearly fifteen years. However, the EKF has two ...
Michael Montemerlo, Sebastian Thrun
HIS
2003
15 years 5 months ago
Data Mining of Web Access Logs From an Academic Web Site
We have used a general purpose data mining tool to determine whether we can find any ‘golden nuggets’ in the web access logs of a large academic web site. Our goal was to use...
Victor Ciesielski, A. Lalani
SIGCSE
2008
ACM
211views Education» more  SIGCSE 2008»
15 years 4 months ago
Cluster computing for web-scale data processing
In this paper we present the design of a modern course in cluster computing and large-scale data processing. The defining differences between this and previously published designs...
Aaron Kimball, Sierra Michels-Slettvet, Christophe...
DEBU
2010
128views more  DEBU 2010»
15 years 1 months ago
Panda: A System for Provenance and Data
Panda (for Provenance and Data) is a new project whose goal is to develop a general-purpose system that unifies concepts from existing provenance systems and overcomes some limita...
Robert Ikeda, Jennifer Widom